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ARS-L1: Learning

10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION

Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Pennsylvania State University, USA

10:50  ARS-L1.2—A HIERARCHICAL STRUCTURED DISCRIMINATIVE DICTIONARY LEARNING FOR CLASSIFICATION

Jaesik Yoon, Jinho Choi, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea

11:10  ARS-L1.3—DICTIONARY-BASED MULTIPLE INSTANCE LEARNING

Ashish Shrivastava, University of Maryland, College Park, USA; Jaishanker Pillai, Google, USA; Vishal Patel, Rama Chellappa, University of Maryland, College Park, USA

11:30  ARS-L1.4—LEARNING VISUAL CATEGORIES THROUGH A SPARSE REPRESENTATION CLASSIFIER BASED CROSS-CATEGORY KNOWLEDGE TRANSFER

Ying Lu, Liming Chen, Alexandre Saidi, Ecole Centrale de Lyon, France; Zhaoxiang Zhang, Yunhong Wang, Beihang University, P.R. China

11:50  ARS-L1.5—SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING

Thibaut Durand, Sorbonne Universités, France; David Picard, University of Cergy-Pontoise, France; Nicolas Thome, Matthieu Cord, Sorbonne Universités, France

12:10  ARS-L1.6—A FAST LEARNING ALGORITHM FOR MULTI-LAYER EXTREME LEARNING MACHINE

Jiexiong Tang, Chenwei Deng, Beijing Institute of Technology, P.R. China; Guang-Bin Huang, Junhui Hou, Nanyang Technological University, Singapore

CIP-L1: Computational Photography

10:30  CIP-L1.1—A COMPUTATIONAL PHOTOGRAPHY SHOOTOUT: WAVEFRONT CODING VS. LATTICE FOCAL IMAGING

David Stoker, Jan van der Laan, Eric Lavelle, Christopher Sakai, Jonathan Wedd, SRI International, USA

10:50  CIP-L1.2—COST-AWARE DEPTH MAP ESTIMATION FOR LYTRO CAMERA

Min-Jung Kim, Tae-Hyun Oh, In So Kweon, Korea Advanced Institute of Science and Technology, Korea

11:10  CIP-L1.3—RECONSTRUCTING SCENE DEPTH AND APPEARANCE BEHIND FOREGROUND OCCLUSION USING CAMERA ARRAY

Zhaolin Xiao, Qing Wang, Lipeng Si, Guoqing Zhou, Northwestern Polytechnical University, P.R. China

11:30  CIP-L1.4—COMPUTATIONAL 3D AND REFLECTIVITY IMAGING WITH HIGH PHOTON EFFICIENCY

Dongeek Shin, Ahmed Kirmani, Massachusetts Institute of Technology, USA; Vivek Goyal, Boston University, USA; Jeffrey H. Shapiro, Massachusetts Institute of Technology, USA

11:50  CIP-L1.5—PLENOPTIC SYSTEM IDENTIFICATION USING RANDOM CALIBRATION PATTERNS

Jae Park, Schlumberger, USA; Ivana Toši?, Kathrin Berkner, Ricoh Innovations, Corp., USA

12:10  CIP-L1.6—ILLUMINATION AND DEVICE INVARIANT IMAGE STITCHING

Hasan Sheikh Faridul, Jurgen Stauder, Technicolor R&D, France; Alain Trémeau, University Jean Monnet, France

ELI-L1: Multiview and 3D Coding

10:30  ELI-L1.1—UNIFIED WEDGELET GENERATION FOR DEPTH CODING IN 3D-HEVC

Xin Zhao, Li Zhang, Ying Chen, Qualcomm, USA

10:50  ELI-L1.2—MRF-BASED PLANAR CO-SEGMENTATION FOR DEPTH COMPRESSION

Burak Özkalayci, Aydin Alatan, Middle East Technical University, Turkey

11:10  ELI-L1.3—LUMINANCE CODING IN GRAPH-BASED REPRESENTATION OF MULTIVIEW IMAGES

Thomas Maugey, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Yung-Hsuan Chao, Akshay Gadde, Antonio Ortega, University of Southern California, USA; Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne, Switzerland

11:30  ELI-L1.4—FULL PARALLAX SUPER MULTI-VIEW VIDEO CODING

Antoine Dricot, Orange Labs & Télécom ParisTech, France; Joel Jung, Orange Labs, France; Marco Cagnazzo, Béatrice Pesquet, Frederic Dufaux, Télécom ParisTech, France

11:50  ELI-L1.5—RATE CONTROL TECHNIQUE BASED ON 3D QUALITY OPTIMIZATION FOR 3D VIDEO ENCODING

Wen-Nung Lie, National Chung Cheng University, Taiwan; Yu-Peng Liao, National Chung Cheng UNiversity, Taiwan

12:10  ELI-L1.6—GENERAL RATE-ALLOCATION IN FREE-VIEWPOINT TELEVISION

Camilo Dorea, Ricardo de Queiroz, University of Brasil, Brazil

TEC-L1: Medical-Image Segmentation

10:30  TEC-L1.1—ROBUST SHAPE-CONSTRAINED ACTIVE CONTOUR FOR WHOLE HEART SEGMENTATION IN 3-D CT IMAGES FOR RADIOTHERAPY PLANNING

Xuan Zhao, Yao Wang, NYU Polytechnic School of Engineering, USA; Gabor Jozsef, New York University School of Medicine, USA

10:50  TEC-L1.2—SIMULTANEOUS BIAS CORRECTION AND IMAGE SEGMENTATION VIA $L_0$ REGULARIZED MUMFORD-SHAH MODEL

Yuping Duan, Institute for Infocomm Research, Singapore; Huibin Chang, Tianjin Normal University, P.R. China; Weimin Huang, Jiayin Zhou, Institute for Infocomm Research, Singapore

11:10  TEC-L1.3—4DGVF SEGMENTATION OF VECTOR-VALUED IMAGES

Vincent Jaouen, Paulo Gonzalez, Sylvie Chalon, Denis Guilloteau, Université de Tours, France; Irene Buvat, Universidad Católica del Maule, Chile; Clovis Tauber, Université de Tours, France

11:30  TEC-L1.4—CROSS MODALITY LABEL FUSION IN MULTI-ATLAS SEGMENTATION

Keyvan Kasiri, Paul Fieguth, David Clausi, University of Waterloo, Canada

11:50  TEC-L1.5—IDENTIFYING REGIONS OF INTEREST FOR DISCRIMINATING ALZHEIMER’S DISEASE FROM MILD COGNITIVE IMPAIRMENT

Helena Aidos, João Duarte, Ana Fred, Instituto de Telecomunicações, Instituto Superior Técnico, Portugal

12:10  TEC-L1.6—AUTOMATIC DENDRITIC SPINE DETECTION USING MULTISCALE DOT ENHANCEMENT FILTERS AND SIFT FEATURES

Lavdie Rada, Ertunc Erdil, Sabanc? University, Turkey; A. Ozgur Argunsah, Champalimaud Centre for the Unknown, Portugal; Devrim Unay, Bahcesehir University, Turkey; Müjdat Çetin, Sabanc? University, Turkey

SS14: Synthetic-Aperture-Radar Imaging

10:30  SS14.1—CLASS EVOLUTION DATA ANALYTICS FROM SAR IMAGE TIME SERIES USING INFORMATION THEORY MEASURES

Carmen Patrascu, Daniela Faur, Anca Popescu, University Politehnica of Bucharest, Romania; Mihai Datcu, German Aerospace Center, Germany

10:50  SS14.2—MODELING THE DISTRIBUTION OF PATCHES WITH SHIFT-INVARIANCE: APPLICATION TO SAR IMAGE RESTORATION

Sonia Tabti, Télécom ParisTech, France; Charles-Alban Deledalle, Université de Bordeaux, France; Loic Denis, Laboratoire Hubert Curien, France; Florence Tupin, Télécom ParisTech, France

11:10  SS14.3—ROBUST JOINT DOWN- AND CROSS-RANGE SPARSE RECOVERY OF RAW ULTRA-WIDEBAND SAR DATA

Sonia Joy, Johns Hopkins University, USA; Lam Nguyen, Army Research Laboratory, USA; Trac Tran, Johns Hopkins University, USA

11:30  SS14.4—FRACTAL DIMENSION IMAGES FROM SAR IMAGES

Daniele Riccio, Gerardo Di Martino, Antonio Iodice, Giuseppe Ruello, Università di Napoli Federico II, Italy; Ivana Zinno, IREA, CNR, Italy

11:50  SS14.5—ESTIMATING BEDROCK AND SURFACE LAYER BOUNDARIES AND CONFIDENCE INTERVALS IN ICE SHEET RADAR IMAGERY USING MCMC

Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey Fox, Indiana University, USA

12:10  SS14.6—RADIO-FREQUENCY INTERFERENCE SEPARATION AND SUPPRESSION FROM ULTRA-WIDEBAND RADAR DATA VIA LOW-RANK MODELING

Lam Nguyen, Army Research Laboratory, USA; Minh Dao, Trac Tran, Johns Hopkins University, USA

SS16: 3D Multimedia Experience Over the Future Internet

Session Chairs: Safak Dogan, University of Surrey; Ahmet Kondoz, Loughborough University

10:30  SS16.1—3D VIDEO STREAMING TRANSMISSION OVER OFDMA-BASED SYSTEMS

Valdemar Monteiro, Kazi Huq, Shahid Mumtaz, Instituto de Telecomunicações, Portugal; Hugo Marques, University of Aveiro, Portugal; Christos Thomos, University of Patras, Greece; Tasos Dagiuklas, Hellenic Open University & University of Patras, Greece; Jonathan Rodriguez, Instituto de Telecomunicações, Portugal

10:50  SS16.2—QOE MODEL OF SCALABLE MDC STEREOSCOPIC VIDEO OVER IP NETWORKS

Charalambos Mysirlidis, Ilias Politis, Tasos Dagiuklas, Hellenic Open University & University of Patras, Greece

11:10  SS16.3—DEPTH-ASSISTED STEREO VIDEO ENHANCEMENT USING GRAPH-BASED APPROACHES

Dong Tian, Hassan Mansour, Anthony Vetro, Mitsubishi Electric Research Laboratories, USA; Yongzhe Wang, Antonio Ortega, University of Southern California, USA

11:30  SS16.4—AN APPROACH TO IMMERSIVE AUDIO RENDERING WITH WAVE FIELD SYNTHESIS FOR 3D MULTIMEDIA CONTENT

Hyun Lim, Chungeun Kim, Erhan Ekmekcioglu, Safak Dogan, Andrew Hill, University of Surrey, United Kingdom; Ahmet Kondoz, Loughborough University, United Kingdom; Xiyu Shi, University of Surrey, United Kingdom

11:50  SS16.5—TOWARDS A FREE VIEWPOINT AND A 3D INTENSITY ADJUSTMENT ON MULTI-VIEW DISPLAY

Didier Doyen, Sylvain Thiébaud, Technicolor, France

12:10  SS16.6—ANALYSIS AND OPTIMIZATION OF PIXEL USAGE OF LIGHT-FIELD CONVERSION FROM MULTI-CAMERA SETUPS TO 3D LIGHT-FIELD DISPLAYS

Peter Tamas Kovacs, Kristof Lackner, Attila Barsi, Vamsi Kiran Adhikarla, Holografika, Hungary; Robert Bregovic, Atanas Gotchev, Tampere University of Technology, Finland

ARS-P1: Motion Estimation

ARS-P1.1—CARDIAC MOTION ANALYSIS USING WAVELET PROJECTIONS FROM TAGGED MR SEQUENCES

Younes Farouj, Liang Wang, Patrick Clarysse, University of Lyon, France; Laurent Navarro, ENSM-SE, France; Marianne Clausel, University Joseph Fourier, France; Philippe Delachartre, University of Lyon, France

ARS-P1.2—HYBRID VISUAL AND INERTIAL RANSAC FOR REAL-TIME MOTION ESTIMATION

Manu Alibay, MINES ParisTech & STMicroelectronics, France; Stephane Auberger, STMicroelectronics, France; Bogdan Stanciulescu, Philippe Fuchs, MINES ParisTech, France

ARS-P1.3—PRESERVING ACCURATE MOTION CONTOURS WITH RELIABLE PARAMETER SELECTION

Javier Sánchez, Agustín Salgado, Nelson Monzón, University of Las Palmas de Gran Canaria, Spain

ARS-P1.4—BLOCK MOTION MATCHING ON DIRECTIONAL SUBBANDS WITH INTERBAND SUPPRESSION

Rui Xu, David Taubman, Aous Naman, University of New South Wales, Australia

ARS-P1.5—AGGREGATED MAPPING OF DRIVER ATTENTION FROM MATCHED OPTICAL FLOW

Roland Perko, Michael Schwarz, Lucas Paletta, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria

ARS-P1.6—REAL-TIME MOTION ESTIMATION BASED ON EVENT-BASED VISION SENSOR

Jun Haeng Lee, Kyoobin Lee, Hyunsurk Ryu, Paul-K Park, Chang-Woo Shin, Jooyeon Woo, Junseok Kim, Samsung, Korea

ARS-P1.7—MODELLING THE OPTICAL-FLOW WITH PROJECTIVE-TRANSFORM APPROXIMATION FOR LARGE CAMERA MOVEMENTS

François Le Coat, Université Paris-Sud, France; Edwige Pissaloux, UPMC-Paris 6 University, France

ARS-P1.8—RECOVERY OF MOTION PATTERNS AND DOMINANT PATHS IN VIDEOS OF CROWDED SCENES

Antoine Basset, Inria, France; Patrick Bouthemy, Charles Kervrann, INRIA, France

ARS-P1.9—3-D MOTION ESTIMATION FOR VISUAL SALIENCY MODELING

Pengfei Wan, Hong Kong University of Science and Technology, Hong Kong; Yunlong Feng, The Graduate University Of Advanced Studies, Japan; Gene Cheung, National Institute of Informatics, Japan; Ivan Bajic, Simon Fraser University, Canada; Oscar Au, Hong Kong University of Science and Technology, Hong Kong

ARS-P1.10—A PARTICLE FILTERING APPROACH TO SALIENT VIDEO OBJECT LOCALIZATION

Charles Gray, Stuart James, John Collomosse, University of Surrey, United Kingdom; Paul Asente, Adobe Research, USA

ARS-P2: Face Detection and Recognition

ARS-P2.1—NOVEL PRESENTATION ATTACK DETECTION ALGORITHM FOR FACE RECOGNITION SYSTEM: APPLICATION TO 3D FACE MASK ATTACK

R Raghavendra, Christoph Busch, Gjøvik University College, Norway

ARS-P2.2—DLBP: A NOVEL DESCRIPTOR FOR DEPTH IMAGE BASED FACE RECOGNITION

Amel Aissaoui, Jean Martinet, University of Lille, France; Chabane Djeraba, University of Sciences and Technologies of Lille, France

ARS-P2.3—COUPLED DICTIONARIES FOR THERMAL TO VISIBLE FACE RECOGNITION

Christopher Reale, University of Maryland & US Army Research Laboratory, USA; Nasser Nasrabadi, US Army Research Laboratory, USA; Rama Chellappa, University of Maryland, College Park, USA

ARS-P2.4—PATCH BASED LOCAL PHASE QUANTIZATION OF MONOGENIC COMPONENTS FOR FACE RECOGNITION

Tuan Nguyen, Alice Caplier, Grenoble Institute of Technology, France

ARS-P2.5—PERSON-SPECIFIC DOMAIN ADAPTATION WITH APPLICATIONS TO HETEROGENEOUS FACE RECOGNITION

Yao-Hung Tsai, Hung-Ming Hsu, National Taiwan University, Taiwan; Cheng-An Hou, Yu-Chiang Wang, Academia Sinica, Taiwan

ARS-P2.6—AN IMPROVED RETINAL MODELING FOR ILLUMINATION FACE RECOGNITION

Yong Cheng, Southeast University, P.R. China; Liangbao Jiao, Nanjing Institute of Technology, P.R. China; Zuoyong Li, Minjiang University, P.R. China; Xuehong Cao, Nanjing University of Posts & Telecommunications, P.R. China

ARS-P2.7—LOCAL VECTOR PATTERN IN HIGH-ORDER DERIVATIVE SPACE FOR FACE RECOGNITION

Tsung-Yung Hung, Kuo-Chin Fan, National Central University, Taiwan

ARS-P2.8—TRANSFORM-INVARIANT DICTIONARY LEARNING FOR FACE RECOGNITION

Shu Zhang, Man Zhang, Ran He, Zhenan Sun, Chinese Academy of Sciences, P.R. China

ARS-P2.9—MAKEUP-INSENSITIVE FACE RECOGNITION BY FACIAL DEPTH RECONSTRUCTION AND GABOR FILTER BANK FROM WOMEN’S REAL-WORLD IMAGES

Ali Moeini, Amirkabir University of Technology, Iran; Hossein Moeini, Semnan University, Iran; Karim Faez, Amirkabir University of Technology, Iran

ARS-P2.10—ROBUST BLURRED FACE RECOGNITION USING SAMPLE-WISE KERNEL ESTIMATION AND RANDOM COMPRESSED MULTI-SCALE LOCAL BINARY PATTERN HISTOGRAMS

Guangling Sun, Zhi Liu, Shanghai University, P.R. China

ARS-P2.11—DEPTH-BASED FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS ADAPTED FOR RANGE DATA

Tomás Mantecón, Carlos del-Blanco, Fernando Jaureguizar, Narciso García, Universidad Politécnica de Madrid, Spain

ARS-P2.12—LIKELIHOOD-ENHANCED BAYESIAN CONSTRAINED LOCAL MODELS

Pedro Martins, Rui Caseiro, João Henriques, Jorge Batista, University of Coimbra, Portugal

ARS-P2.13—ON USING HOUGH FORESTS FOR ROBUST FACE DETECTION

M. Hassaballah, South Valley University & Faculty of Science, Egypt; Mourad Ahmed, South Valley University, Egypt

ARS-P2.14—ENHANCED OMNIDIRECTIONAL IMAGE UNWRAPPING FOR FACE DETECTION

Yohan Dupuis, CEREMA, France; Arturo Mendoza Quispe, Pontificia Univ. Catolica del Peru, Peru; Pascal Vasseur, Université de Rouen, France; Benjamin Castañeda, Pontificia Univ. Catolica del Peru, Peru; Nicolas Ragot, Ecole Supérieure d’Ingenieurs en Genie Electrique, France

ARS-P2.15—HOG ACTIVE APPEARANCE MODELS

Epameinondas Antonakos, Joan Alabort-i-Medina, Georgios Tzimiropoulos, Stefanos Zafeiriou, Imperial College London, United Kingdom

ARS-P2.16—VIDEO FACE NAMING USING GLOBAL SEQUENCE ALIGNMENT

Zhiqiang Tang, Yifan Zhang, Shuang Qiu, Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, P.R. China

ARS-P2.17—FACE IDENTIFICATION FROM OVERLAID TEXTS USING LOCAL FACE RECURRENT PATTERNS AND CRF MODELS

Gay Paul, Université du Maine, Switzerland; Elie Khoury, IDIAP, Switzerland; Sylvain Meignier, Université du Maine, France; Jean-Marc Odobez, IDIAP, Switzerland; Paul Deleglise, Université du Maine, France

ARS-P2.18—CLEANING UP AFTER A FACE TRACKER: FALSE POSITIVE REMOVAL

Makarand Tapaswi, Karlsruhe Institute of Technology, Germany; Cemal Çörez, Istanbul Technical University, Turkey; Martin Bäuml, Hazim Ekenel, Rainer Stiefelhagen, Karlsruhe Institute of Technology, Germany

ARS-P2.19—FRACTIONAL EIGENFACES

Tiago de Carvalho, Maria Sibaldo, Ing Ren Tsang, George Cavalcanti, Universidade Federal Rural de Pernambuco, Brazil; Ing Jyh Tsang, Alcatel-Lucent, Belgium; Jan Sijbers, University of Antwerp, Belgium

ARS-P2.20—DIRICHLET-TREE DISTRIBUTION ENHANCED RANDOM FORESTS FOR FACIAL FEATURE DETECTION

Yuanyuan Liu, Central China Normal University & Huazhong University of Science and Technology Wenhua College, P.R. China; Jingying Chen, Chunjie Shan, Central China Normal University, P.R. China

ARS-P2.21—SELECTIVE PART MODELS FOR DETECTING PARTIALLY OCCLUDED FACES IN THE WILD

Ahmed EL-Barkouky, Ahmed Shalaby, Ali Mahmoud, Aly Farag, University of Louisville, USA

ARS-P2.22—MULTI-SCALE MULTI-DESCRIPTOR LOCAL BINARY FEATURES AND EXPONENTIAL DISCRIMINANT ANALYSIS FOR ROBUST FACE AUTHENTICATION

Abdelmalik Ouamane, Bengherabi Messaoud, Centre de Développement des Technologies Avancées, Algeria; Guessoum Abderrezak, Blida University, Algeria; Abdenour Hadid, University of Oulu, Finland; Mohamed Cheriet, Ecole de Technologie Supérieure, Canada

ARS-P2.23—PHYSIOLOGICALLY-BASED DETECTION OF COMPUTER GENERATED FACES IN VIDEO

Valentina Conotter, Ecaterina Bodnari, Giulia Boato, University of Trento, Italy; Hany Farid, Dartmouth College, USA

ARS-P2.24—A DATA-DRIVEN APPROACH TO CLEANING LARGE FACE DATASETS

Hong-Wei Ng, Stefan Winkler, Advanced Digital Sciences Center (ADSC), Singapore

ARS-P2.25—FACIAL ALIGNMENT BY USING SPARSE INITIALIZATION AND RANDOM FOREST

Chun Fui Liew, Naoto Yokoya, Takehisa Yairi, University of Tokyo, Japan

ARS-P2.26—NULL SPACE CLUSTERING WITH APPLICATIONS TO MOTION SEGMENTATION AND FACE CLUSTERING

Pan Ji, Australian National University, Australia; Yiran Zhong, Australian National University & CSIRO, Australia; Hongdong Li, Australian National University, Australia; Mathieu Salzmann, NICTA, Australia

ARS-P2.27—HEAD-SHOULDER HUMAN CONTOUR ESTIMATION IN STILL IMAGES

Julio Jacques Junior, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil; Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil; Soraia Musse, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

ARS-P3: Tracking

ARS-P3.1—VISUAL TRACKING BASED ON WEIGHTED SUBSPACE RECONSTRUCTION ERROR

Tao Zhou, Junhao Zhang, Kai Xie, Jie Yang, Shanghai Jiao Tong University, P.R. China; Xiangjian He, University of Technology, Sydney, Australia

ARS-P3.2—3D OBJECT TRACKING VIA BOUNDARY CONSTRAINED REGION-BASED MODEL

Song Zhao, Lingfeng Wang, Wei Sui, Huai-Yu Wu, Chunhong Pan, Chinese Academy of Sciences, P.R. China

ARS-P3.3—CONTOUR TRACKING VIA ON-LINE DISCRIMINATIVE ACTIVE CONTOURS

Peng Lv, Qingjie Zhao, Beijing Institute of Technology, P.R. China; Dongbing Gu, University of Essex, United Kingdom

ARS-P3.4—ROBUST TRACKING VIA WEIGHTED SPATIO-TEMPORAL CONTEXT LEARNING

Jianqiang Xu, Yao Lu, Jinwu Liu, Beijing Institute of Technology, P.R. China

ARS-P3.5—STRUCTURE-AWARE MULTI-OBJECT DISCOVERY FOR WEAKLY SUPERVISED TRACKING

Yuankai Qi, Hongxun Yao, Xiaoshuai Sun, Xin Sun, Yanhao Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China

ARS-P3.6—A TOOL FOR FAST GROUND TRUTH GENERATION FOR OBJECT DETECTION AND TRACKING FROM VIDEO

Francesco Comaschi, Sander Stuijk, Twan Basten, Henk Corporaal, Eindhoven University of Technology, The Netherlands

ARS-P3.7—ROBUST OBJECT TRACKING VIA ONLINE INFORMATIVE FEATURE SELECTION

Jinwei Yuan, Farokh Bastani, University of Texas at Dallas, USA

ARS-P3.8—CELL TRACKING USING PARTICLE FILTERS WITH IMPLICIT CONVEX SHAPE MODEL IN 4D CONFOCAL MICROSCOPY IMAGES

Nisha Ramesh, Tolga Tasdizen, University of Utah, USA

ARS-P3.9—GREEDY ALGORITHM FOR REAL-TIME MULTI-OBJECT TRACKING

Tae-Ho Kim, Changhoon Lee, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea

ARS-P3.10—OBJECT TRACKING BASED ON ONLINE PARTIAL INSTANCE LEARNING WITH MULTIPLE LOCAL STRONG CLASSIFIERS

Sung-Ho Bae, Munchurl Kim, Korea Advanced Institute of Science and Technology, Korea

ARS-P3.11—DIRECT VISUAL TRACKING UNDER EXTREME ILLUMINATION VARIATIONS USING THE SUM OF CONDITIONAL VARIANCE

Rogério Richa, Mateus de Souza, Universidade Federal de Santa Catarina, Brazil; Glauco Garcia Scandaroli, University of Brasília, Brazil; Eros Comunello, University of Itajaí Valley, Brazil; Aldo von Wangenheim, Universidade Federal de Santa Catarina, Brazil

ARS-P3.12—ONLINE MULTI-PERSON TRACKING VIA ROBUST COLLABORATIVE MODEL

Mohamed Naiel, M. Omair Ahmad, M. N. S. Swamy, Concordia University, Canada; Yi Wu, Ming-Hsuan Yang, University of California at Merced, USA

ARS-P3.13—COLLABORATING FRAMES: TEMPORALLY WEIGHTED SPARSE REPRESENTATION FOR VISUAL TRACKING

Ali Soltani-Farani, Hamid Rabiee, Ali Zarezade, Sharif University of Technology, Iran

ARS-P3.14—A CONDITIONAL RANDOM FIELD MODEL FOR TRACKING IN DENSELY PACKED CELL STRUCTURES

Anirban Chakraborty, Amit Roy-Chowdhury, University of California, Riverside, USA

ARS-P3.15—A TRACK-BEFORE-DETECT ALGORITHM USING JOINT PROBABILISTIC DATA ASSOCIATION FILTER AND INTERACTING MULTIPLE MODELS

Andrea Mazzù, Lucio Marcenaro, Simone Chiappino, Carlo Regazzoni, University of Genoa, Italy

ARS-P3.16—ASSESSING TRACKING ASSESSMENT MEASURES

Tahir Nawaz, Fabio Poiesi, Andrea Cavallaro, Queen Mary, University of London, United Kingdom

ARS-P3.17—INTEGRATING HUMAN CONTEXT AND OCCLUSION REASONING TO IMPROVE HANDHELD OBJECT TRACKING

Daniel Parks, Laurent Itti, University of Southern California, USA

ARS-P3.18—MULTI-LEAF TRACKING FROM FLUORESCENCE PLANT VIDEOS

Xi Yin, Xiaoming Liu, Jin Chen, David Kramer, Michigan State University, USA

ARS-P3.19—MARKERLESS IDENTIFICATION AND TRACKING FOR SCALABLE IMAGE DATABASE

Madjid Maidi, Marius Preda, Yassine Lehiani, Telecom SudParis, France

ARS-P3.20—REAL-TIME OBJECT TRACKING VIA OPTIMAL FEATURE SUBSPACE

Xu Min, Tsinghua University, P.R. China; Yu Zhou, Shu Liu, Xiang Bai, Huazhong University of Science and Technology, P.R. China

ARS-P3.21—ROBUST TRACKING VIA SALIENCY-BASED APPEARANCE MODEL

Bo Luo, Ruimin Hu, Yimin Wang, Chao Liang, Wuhan University, P.R. China; Chunjie Zhang, University of Chinese Academy of Sciences, P.R. China; Ge Gao, Wuhan University, P.R. China

ARS-P3.22—EXEMPLAR-BASED LINEAR DISCRIMINANT ANALYSIS FOR ROBUST OBJECT TRACKING

Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang, Huazhong University of Science and Technology, P.R. China

ARS-P3.23—ROBUST OBJECT TRACKING VIA MULTI-TASK DYNAMIC SPARSE MODEL

Zhangjian Ji, Weiqiang Wang, University of Chinese Academy of Sciences, P.R. China

ARS-P3.24—OBJECT SEGMENTATION FROM A DYNAMIC BACKGROUND USING A PIXELWISE RIGIDITY CRITERION AND APPLICATION TO MARITIME TARGET RECOGNITION

Ikhlef Bechar, Thibault Lelore, Frederic Bouchara, Vincente Guis, Michel Grimaldi, Toulon University, France

ARS-P3.25—A PARTICLE SWARM OPTIMIZATION INSPIRED TRACKER APPLIED TO VISUAL TRACKING

Christophe Mollaret, Fréderic Lerasle, University of Toulouse, France; Isabelle Ferrané, Julien Pinquier, Paul Sabatier University, France

ARS-P3.26—POINT MATCHING VIA AFFINE REGION EXPANSION

Erez Farhan, Rami Hagege, Ben-Gurion University, Israel

ARS-P3.27—A LOW RESOLUTION MULTI-CAMERA SYSTEM FOR PERSON TRACKING

Mohamed Eldib, Nyan Bo Bo, Francis Deboeverie, Jorge Nino, Junzhi Guan, Samuel Van de Velde, Heidi Steendam, Ghent University, Belgium; Hamid Aghajan, Stanford University, USA; Wilfried Philips, Ghent University, Belgium

ELI-P1: Color and Multispectral Imaging

ELI-P1.1—DEMOSAICKING ALGORITHM FOR THE FUJIFILM X-TRANS COLOR FILTER ARRAY

Mina Rafi Nazari, Eric Dubois, University of Ottawa, Canada

ELI-P1.2—COLOR CORRECTION THROUGH REGION MATCHING LEVERAGED BY POINT CORRESPONDENCES

Dieu-Sang Ly, Serge Beucher, Michel Bilodeau, MINES ParisTech, France

ELI-P1.3—A COLOR MORPHOLOGICAL ORDERING METHOD BASED ON ADDITIVE AND SUBTRACTIVE SPACES

José Luis Vázquez Noguera, Horacio Legal, Christian E. Schaerer, Universidad Nacional de Asunción, Paraguay; Jacques Facon, PUCPR Pontificia Universidade Católica do Paraná, Brazil

ELI-P1.4—MULTISPECTRAL DEMOSAICKING WITH NOVEL GUIDE IMAGE GENERATION AND RESIDUAL INTERPOLATION

Yusuke Monno, Daisuke Kiku, Tokyo Institute of Technology, Japan; Sunao Kikuchi, Olympus R&D Center, Japan; Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan

ELI-P1.5—EXEMPLAR-BASED COLORIZATION IN RGB COLOR SPACE

Pierre Fabien, Jean Francois Aujol, Aurélie Bugeau, Nicolas Papadakis, Université de Bordeaux, France; Vinh-Thong Ta, LaBRI, France

ELI-P1.6—COLOR DISTORTION CORRECTION WITHOUT NOISE BOOST USING MULTI-RESOLUTION ANALYSIS

Byung Kwan Park, Kyung Hoon Bae, SK Telecom, Korea

ELI-P1.7—CAPTURING COLOR AND NEAR-INFRARED IMAGES WITH DIFFERENT EXPOSURE TIMES FOR IMAGE ENHANCEMENT UNDER EXTREMELY LOW-LIGHT SCENE

Takuya Mikami, Daisuke Sugimura, Takayuki Hamamoto, Tokyo University of Science, Japan

ELI-P1.8—COMPRESSED HYPERSPECTRAL IMAGE RECOVERY VIA TOTAL VARIATION REGULARIZATION ASSUMING LINEAR MIXING

Duncan Eason, Mark Andrews, University of Auckland, New Zealand

ELI-P1.9—ADAPTIVE SPECTRAL REFLECTANCE RECOVERY USING SPATIO-SPECTRAL SUPPORT FROM HYPERSPECTRAL IMAGES

Zohaib Khan, Faisal Shafait, Ajmal Mian, University of Western Australia, Australia

ELI-P1.10—SPECTRAL UNMIXING OF FLUORESCENCE FINGERPRINT IMAGERY FOR VISUALIZATION OF CONSTITUENTS IN PIE PASTRY

Naoto Yokoya, University of Tokyo, Japan; Mito Kokawa, Junichi Sugiyama, National Agriculture and Food Research Organization, Japan

ELI-P1.11—A MODEL FOR ESTIMATING SPECTRAL PROPERTIES OF WATER FROM RGB IMAGES

Henryk Blasinski, John Breneman, Joyce Farrell, Stanford University, USA

ELI-P1.12—COLORED CODED APERTURES OPTIMIZATION IN COMPRESSIVE SPECTRAL IMAGING BY RESTRICTED ISOMETRY PROPERTY

Henry Arguello Fuentes, Yuri Mejia, Universidad Industrial de Santander, Colombia; Gonzalo Arce, University of Delaware, USA

ELI-P1.13—GAMUT MAPPING WITH IMAGE LAPLACIAN COMMUTATORS

Artiom Kovnatsky, Davide Eynard, Università della Svizzera Italiana, Switzerland; Michael Bronstein, Technion, Israel

ELI-P1.14—IMPROVING THE WHITE PATCH METHOD BY SUBSAMPLING

Nikola Bani?, Sven Lon?ari?, University of Zagreb, Croatia

ELI-P1.15—IMAGE CLASSIFICATION IN NATURAL SCENES: ARE A FEW SELECTIVE SPECTRAL CHANNELS SUFFICIENT?

Jason Holloway, Rice University, USA; Tanu Priya, University of Houston, USA; Ashok Veeraraghavan, Rice University, USA; Saurabh Prasad, University of Houston, USA

ELI-P1.16—GETTING A MORPHOLOGICAL TREE OF SHAPES FOR MULTIVARIATE IMAGES: PATHS, TRAPS, AND PITFALLS

Edwin Carlinet, EPITA Research and Development Laboratory & University of Paris-Est, France; Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France

ELI-P1.17—COLOR AND MULTISPECTRAL TEXTURE CHARACTERIZATION USING PSEUDO-MORPHOLOGICAL TOOLS

Radu-Mihai Coliban, Transilvania University of Brasov, Romania; Mihai Ivanovici, Transilvania University & MIV Imaging Venture, Romania

SMR-P1: Quality Assessment

SMR-P1.1—MYSTERY BEHIND SIMILARITY MEASURES MSE AND SSIM

Gintautas Palubinskas, German Aerospace Center DLR, Germany

SMR-P1.2—NO-REFERENCE PERCEPTUAL BLUR MODEL BASED ON INHERENT SHARPNESS

Seungchul Ryu, Kwang Hoon Sohn, Yonsei University, Korea

SMR-P1.3—AN EFFICIENT COLOR IMAGE QUALITY METRIC WITH LOCAL-TUNED-GLOBAL MODEL

Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Shanghai Jiao Tong University, P.R. China

SMR-P1.4—QUALITY ASSESSMENT OF POLARIZATION ANALYSIS IMAGES IN FOGGY CONDITIONS

Congli Li, Wenjun Lu, Song Xue, Yongchang Shi, Xiaoning Sun, New Star Research Institute of Applied Technology, P.R. China

SMR-P1.5—A CONSISTENT PIXEL-WISE BLUR MEASURE FOR PARTIALLY BLURRED IMAGES

Xianyong Fang, Feng Shen, Anhui University, P.R. China; Yanwen Guo, Nanjing University, P.R. China; Christian Jacquemin, University Paris 11, France; Jian Zhou, Shanchun Huang, Anhui University, P.R. China

SMR-P1.6—OPTIMIZING FEATURE POOLING AND PREDICTION MODEL OF VQA ALGORITHMS

Kongfeng Zhu, University of Konstanz, Germany; Marcus Barkowsky, Université de Nantes, France; Minmin Shen, Univerisity of Konstanz, Germany; Patrick Le Callet, Université de Nantes, France; Dietmar Saupe, University of Konstanz, Germany

SMR-P1.7—DEEP LEARNING NETWORK FOR BLIND IMAGE QUALITY ASSESSMENT

Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, Shanghai Jiao Tong University, P.R. China

SMR-P1.8—A PARAMETRIC VIDEO QUALITY MODEL BASED ON SOURCE AND NETWORK CHARACTERISTICS

Emin Zerman, Middle East Technical University, Turkey; Baris Konuk, Aselsan Inc., Turkey; Gokce Nur, Kirikkale University, Turkey; Gozde Akar, Middle East Technical University, Turkey

SMR-P1.9—PERCEPTUAL COLOR DIFFERENCE ASSESSMENT USING HISTOGRAM DISTANCE ON HUE HISTOGRAM DESCRIPTOR

Dohyoung Lee, Konstantinos Plataniotis, University of Toronto, Canada

SMR-P1.10—TOWARDS A NEW IMAGE QUALITY METRIC FOR EVALUATING THE EFFECTS OF TILED DISPLAYS

Steven McFadden, Paul Ward, University of Waterloo, Canada

SMR-P1.11—NO-REFERENCE BLUR ASSESSMENT IN NATURAL IMAGES USING FOURIER TRANSFORM AND SPATIAL PYRAMIDS

Eftichia Mavridaki, Vasileios Mezaris, Information Technologies Institute / CERTH, Greece

SMR-P1.12—NO-REFERENCE VIDEO QUALITY ASSESSMENT VIA FEATURE LEARNING

Jingtao Xu, Peng Ye, University of Maryland, College Park, USA; Yong Liu, Beijing University of Posts and Telecommunications, P.R. China; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA

SMR-P1.13—FUSION OF IMPRECISE DATA APPLIED TO IMAGE QUALITY ASSESSMENT

Nadjib Guettari, Anne-Sophie Capelle-Laizé, Philippe Carré, University of Poitiers, France

SMR-P1.14—A REDUCED REFERENCE PERCEPTUAL QUALITY METRIC FOR TEXTURE SYNTHESIS

Srenivas Varadarajan, Lina Karam, Arizona State University, USA

SMR-P1.15—NO-REFERENCE QUALITY ASSESSMENT OF JPEG IMAGES VIA A QUALITY RELEVANCE MAP

S. Alireza Golestaneh, Damon Chandler, Oklahoma State University, USA

SMR-P1.16—IMAGE QUALITY/DISTORTION METRIC BASED ON Α-STABLE MODEL SIMILARITY

Chongwu Tang, Xiaokang Yang, Guangtao Zhai, Shanghai Jiao Tong University, P.R. China

SMR-P1.17—REDUCED-REFERENCE METRIC BASED ON THE QUATERNIONIC WAVELET COEFFICIENTS MODELING BY INFORMATION CRITERIA

Albekaye Traore, Philippe Carré, Christian Olivier, University of Poitiers, France

SMR-P1.18—SYNTHESIS QUALITY PREDICTION MODEL BASED ON DISTORTION INTOLERANCE

Seungchul Ryu, Seungryong Kim, Kwang Hoon Sohn, Yonsei University, Korea

SMR-P1.19—AESTHETIC QUALITY CLASSIFICATION VIA SUBJECT REGION EXTRACTION

Jonghee Kim, Changick Kim, Korea Advanced Institute of Science and Technology, Korea

SMR-P1.20—COMPRESSED IMAGE QUALITY ASSESSMENT: APPLICATION TO AN INTERACTIVE UPPER LIMB RADIOLOGY ATLAS

Yann Gaudeau, Université de Strasbourg, France; Julien Lambert, University of Lorraine, France; Nicolas Labonne, CHU NANCY, France; Jean-Marie Moureaux, Université Henri Poincaré, Nancy 1, France

SMR-P1.21—ASSESSMENT OF VIDEO NATURALNESS USING TIME-FREQUENCY STATISTICS

Anish Mittal, Nokia Research, USA; Michele Saad, Alan Bovik, University of Texas at Austin, USA

SMR-P1.22—A COMPARATIVE STUDY OF COMPUTATIONAL AESTHETICS

Dogancan Temel, Ghassan AlRegib, Georgia Institute of Technology, USA

SMR-P1.23—FINDING YOUR SPOT: A PHOTOGRAPHY SUGGESTION SYSTEM FOR PLACING HUMAN IN THE SCENE

Shuang Ma, State University of New York at Buffalo, USA; Yangyu Fan, Northwestern Polytechnical University, P.R. China; Chang Wen Chen, State University of New York at Buffalo, USA

ARS-L2: Deep Networks

14:00  ARS-L2.1—DA-CCD: A NOVEL ACTION REPRESENTATION BY DEEP ARCHITECTURE OF LOCAL DEPTH FEATURE

Yi Liu, University of Chinese Academy of Sciences, P.R. China; Lei Qin, Chinese Academy of Sciences, P.R. China; Zhongwei Cheng, University of Chinese Academy of Sciences, P.R. China; Yanhao Zhang, Weigang Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China

14:20  ARS-L2.2—LEARNING DEEP FEATURES FOR MULTIPLE OBJECT TRACKING BY USING A MULTI-TASK LEARNING STRATEGY

Li Wang, Nanyang Technological University, Singapore; Nam Trung Pham, Tian Tsong Ng, Institute for Infocomm Research, A*STAR, Singapore; Wang Gang, Kap Chan, Nanyang Technological University, Singapore; Karianto Leman, Institute for Infocomm Research, A*STAR, Singapore

14:40  ARS-L2.3—AN ENSEMBLE OF DEEP NEURAL NETWORKS FOR OBJECT TRACKING

Xiangzeng Zhou, Lei Xie, Peng Zhang, Yanning Zhang, Northwestern Polytechnical University, P.R. China

15:00  ARS-L2.4—SEMI-SUPERVISED DEEP LEARNING FOR OBJECT TRACKING AND CLASSIFICATION

Nikolaos Doulamis, Anastasios D. Doulamis, National Technical University of Athens, Greece

15:20  ARS-L2.5—HAND POSTURE RECOGNITION BASED ON BOTTOM-UP STRUCTURED DEEP CONVOLUTIONAL NEURAL NETWORK WITH CURRICULUM LEARNING

Takayoshi Yamashita, Chubu University, Japan; Taro Watasue, Tome R&D, Japan

15:40  ARS-L2.6—DEEP CONVOLUTIONAL NEURAL NETWORK BASED IMAGE CLASSIFICATION FOR WILD ANIMAL MONITORING

Guobin Chen, Tony Han, Zhihai He, University of Missouri, USA; Roland Kays, Tavis Forrester, North Carolina State University, USA

ARS-L3: Face Recognition

14:00  ARS-L3.1—LOCAL STRUCTURE BASED SPARSE REPRESENTATION FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON

Fan Liu, Jinhui Tang, Yan Song, Xinguang Xiang, Zhenmin Tang, Nanjing University of Science and Technology, P.R. China

14:20  ARS-L3.2—EXTENDED LOCAL BINARY PATTERN FUSION FOR FACE RECOGNITION

Li Liu, National University of Defense Technology, P.R. China; Paul Fieguth, University of Waterloo, Canada; Guoying Zhao, Matti Pietikäinen, University of Oulu, Finland

14:40  ARS-L3.3—IS BLOCK-MATCHING AN ALTERNATIVE TOOL TO LBP FOR FACE RECOGNITION?

Yang Zhong, Haibo Li, Royal Institute of Technology, Sweden

15:00  ARS-L3.4—3D ASSISTED FACE RECOGNITION VIA PROGRESSIVE POSE ESTIMATION

Wuming Zhang, Ecole Centrale de Lyon, France; Di Huang, IRIP Laboratory, Beihang University, P.R. China; Dimitris Samaras, SUNY at Stony Brook, USA; Jean-Marie Morvan, Universite Claude Bernard, France; Yunhong Wang, Beihang University, P.R. China; Liming Chen, Ecole Centrale de Lyon, France

15:20  ARS-L3.5—DICTIONARY-BASED VIDEO FACE RECOGNITION USING DENSE MULTI-SCALE FACIAL LANDMARK FEATURES

Jun-Cheng Chen, Vishal Patel, Huy Tho Ho, Rama Chellappa, University of Maryland, College Park, USA

15:40  ARS-L3.6—SCENARIO ORIENTED DISCRIMINANT ANALYSIS FOR STILL-TO-VIDEO FACE RECOGNITION

Xue Chen, Chunheng Wang, Baihua Xiao, Xinyuan Cai, Institute of Automation, Chinese Academy of Sciences, P.R. China

TEC-L2: Image Denoising

14:00  TEC-L2.1—LEARNING OVERCOMPLETE SPARSIFYING TRANSFORMS WITH BLOCK COSPARSITY

Bihan Wen, Saiprasad Ravishankar, Yoram Bresler, University of Illinois at Urbana-Champaign, USA

14:20  TEC-L2.2—IMAGE DENOISING THROUGH MULTI-SCALE LEARNT DICTIONARIES

Jeremias Sulam, Boaz Ophir, Michael Elad, Technion, Israel

14:40  TEC-L2.3—NON-LOCAL DUAL IMAGE DENOISING

Nicola Pierazzo, Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Martin Rais, Universitat de les Illes Balears, France; Jean-Michel Morel, Gabriele Facciolo, Ecole Normale Supérieure de Cachan, France

15:00  TEC-L2.4—GLOBAL DENOISING IS ASYMPTOTICALLY OPTIMAL

Hossein Talebi, Peyman Milanfar, University of California, Santa Cruz, USA

15:20  TEC-L2.5—AN EFFECTIVE EXAMPLE-BASED LEARNING METHOD FOR DENOISING OF MEDICAL IMAGES CORRUPTED BY HEAVY GAUSSIAN NOISE AND POISSON NOISE

Dinh Hoan Trinh, Vietnam Academy of Science and Technology, Vietnam; Marie Luong, Françoise Dibos, Jean-Marie Rocchisani, Université Paris 13, France; Canh-Duong Pham, Vietnam Academy of Science and Technology, Vietnam; Nguyen Linh-Trung, Vietnam National University, Hanoi, Vietnam; Truong Nguyen, University of California, San Diego, USA

15:40  TEC-L2.6—DEPTH MAP DENOISING USING COLLABORATIVE GRAPH WAVELET SHRINKAGE ON CONNECTED IMAGE PATCHES

Yuki Iizuka, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

SS19: Image Processing for the Detection of Road-Surface Degradations

Session Chair: Henrique Oliveira, Instituto de Telecomunicações

14:00  SS19.1—IMPLEMENTATION OF AUTOMATIC CRACK EVALUATION USING CRACK FUNDAMENTAL ELEMENT

Yichang James Tsai, Chenglong Jiang, Zhaohua Wang, Georgia Institute of Technology, USA

14:20  SS19.2—ENHANCED AUTOMATIC DETECTION OF ROAD SURFACE CRACKS BY COMBINING 2D/3D IMAGE PROCESSING TECHNIQUES

Roberto Medina Aparicio, José Llamas, CARTIF Foundation, Spain; Eduardo Zalama, Jaime Gómez-García-Bermejo, Universidad de Valladolid, Spain

14:40  SS19.3—2D IMAGE BASED ROAD PAVEMENT CRACK DETECTION BY CALCULATING MINIMAL PATH AND DYNAMIC PROGRAMMING

Manuel Avila, Stéphane Begot, Florent Duculty, University of Orleans, France; Tien Sy Nguyen, Vectra, France

15:00  SS19.4—A NEW MINIMAL PATH SELECTION ALGORITHM FOR AUTOMATIC CRACK DETECTION ON PAVEMENT IMAGES

Rabih Amhaz, Université Nantes Angers le Mans (UNAM) & Institut National Polytechnique de Toulouse, France; Sylvie Chambon, University of Toulouse, France; Jérôme Idier, IRCCyN, France; Vincent Baltazart, Laboratoire Central des Ponts et Chaussées, France

15:20  SS19.5—PAVEMENT PATHOLOGIES CLASSIFICATION USING GRAPH-BASED FEATURES

Kelwin Fernandes, Lucian Ciobanu, INESC TEC, Portugal

15:40  SS19.6—CRACKIT – AN IMAGE PROCESSING TOOLBOX FOR CRACK DETECTION AND CHARACTERIZATION

Henrique Oliveira, Instituto de Telecomunicações & Instituto Politécnico de Beja, Portugal; Paulo Correia, Instituto Superior Tecnico – Universidade Tecnica Lisboa & Instituto de Telecomunicacoes, Portugal

SS5: Hyperspectral Image Processing

Session Chairs: Jocelyn Chanussot, Grenoble Institute of Technology; Saurabh Prasad, University of Houston

14:00  SS5.1—COMPRESSIVE PUSHBROOM AND WHISKBROOM SENSING FOR HYPERSPECTRAL REMOTE-SENSING IMAGING

James Fowler, Mississippi State University, USA

14:20  SS5.2—GRAPH MBO METHOD FOR MULTICLASS SEGMENTATION OF HYPERSPECTRAL STAND-OFF DETECTION VIDEO

Ekaterina Merkurjev, University of California, Los Angeles, USA; Justin Sunu, California State University at Long Beach, USA; Andrea Bertozzi, University of California, Los Angeles, USA

14:40  SS5.3—HYPERSPECTRAL UNMIXING USING AN ACTIVE SET ALGORITHM

Rob Heylen, Paul Scheunders, iMinds-Visionlab, University of Antwerp, Belgium

15:00  SS5.4—BAYESIAN FUSION OF MULTISPECTRAL AND HYPERSPECTRAL IMAGES WITH UNKNOWN SENSOR SPECTRAL RESPONSE

Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, University of Toulouse, France

15:20  SS5.5—HYPERSPECTRAL SUPER-RESOLUTION OF LOCALLY LOW RANK IMAGES FROM COMPLEMENTARY MULTISOURCE DATA

Miguel Veganzones, Grenoble Institute of Technology, France; Miguel Simões, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Giorgio Licciardi, Grenoble Institute of Technology, Italy; Jose Bioucas, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Jocelyn Chanussot, Grenoble Institute of Technology, France

15:40  SS5.6—TOWARD A FULL-BAND TEXTURE FEATURES FOR SPECTRAL IMAGES

Audrey Ledoux, Noël Richard, Anne-Sophie Capelle-Laizé, Hilda Deborah, Christine Fernandez-Maloigne, Université de Poitiers, France

SS8: Quality of Experience in 3D Multimedia Systems

Session Chairs: Janko Calic, Surrey University; Patrick Le Callet, Polytechnique Nantes

14:00  SS8.1—CROWD-BASED QUALITY ASSESSMENT OF MULTIVIEW VIDEO PLUS DEPTH CODING

Philippe Hanhart, Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland

14:20  SS8.2—QUALITY OF INTERACTION EXPERIENCE IN STEREOSCOPIC 3D TV

Haiyue Yuan, Janko Calic, Ahmet Kondoz, University of Surrey, United Kingdom

14:40  SS8.3—EXPLORING THE EFFECTS OF 3D VISUAL DISCOMFORT ON VIEWERS’ EMOTIONS

Miguel Barreda-Ángeles, Barcelona Media Foundation, Spain; Romuald Pépion, Emilie Bosc, Patrick Le Callet, Université de Nantes, France; Alexandre Pereda Baños, Barcelona Media Foundation, Spain

15:00  SS8.4—DEEP LEARNING FOR OBJECTIVE QUALITY ASSESSMENT OF 3D IMAGES

Decebal Constantin Mocanu, George Exarchakos, Antonio Liotta, Eindhoven University of Technology, The Netherlands

15:20  SS8.5—NO-REFERENCE LIGHTWEIGHT ESTIMATION OF 3D VIDEO OBJECTIVE QUALITY

Joao Soares, Luís Cruz, Instituto de Telecomunicacoes / University of Coimbra, Portugal; Pedro Assunção, Instituto de Telecomunicações, Portugal; Rui Neto Marinheiro, Instituto Universitário de Lisboa, Instituto de Telecomunicações, Portugal

15:40  SS8.6—MEASUREMENT OF PERCEIVED SPATIAL RESOLUTION IN 3D LIGHT-FIELD DISPLAYS

Peter Tamas Kovacs, Kristof Lackner, Attila Barsi, Akos Balazs, Holografika, Hungary; Atanas Boev, Robert Bregovic, Atanas Gotchev, Tampere University of Technology, Finland

ARS-P4: Scene Analysis

ARS-P4.1—TRAJECTORY CLUSTERING FOR MOTION PATTERN EXTRACTION IN AERIAL VIDEOS

Tahir Nawaz, Andrea Cavallaro, Queen Mary, University of London, United Kingdom; Bernhard Rinner, Alpen Adria Universitat Klagenfurt, Austria

ARS-P4.2—SCENE TEXT RECOGNITION USING SPARSE CODING BASED FEATURES

Dong Zhang, Da-Han Wang, Hanzi Wang, Xiamen University, P.R. China

ARS-P4.3—GEOMETRY-CONSTRAINED SPATIAL PYRAMID ADAPTATION FOR IMAGE CLASSIFICATION

H. Emrah Tasli, University of Amsterdam & Vicarious Perception Technologies, The Netherlands; Ronan Sicre, University of Caen, France; Theo Gevers, University of Amsterdam, The Netherlands; Aydin Alatan, Middle East Technical University, Turkey

ARS-P4.4—CLASSIFICATION OF 2D AND 3D IMAGES USING PYRAMID SCALE DECISION VOTING

Tsampikos Kounalakis, Brunel University & TEI Crete, Greece; Nikolaos Boulgouris, Brunel University, United Kingdom

ARS-P4.5—INTERSECTING 2D LINES: A SIMPLE METHOD FOR DETECTING VANISHING POINTS

Mariano Tepper, Guillermo Sapiro, Duke University, USA

ARS-P4.6—ROBUST REAR-VIEW GROUND SURFACE DETECTION WITH HIDDEN STATE CONDITIONAL RANDOM FIELD AND CONFIDENCE PROPAGATION

Zhiding Yu, Carnegie Mellon University, USA; Wende Zhang, General Motors Company, USA; B. V. K. Vijaya Kumar, Carnegie Mellon University, USA

ARS-P4.7—IMAGE-BASED FLOOR DETECTION FOR INDOOR SCENE ANALYSIS

Jaeho Lee, Jiwon Choi, Nakyoung O, Changick Kim, Korea Advanced Institute of Science and Technology, Korea

ARS-P4.8—MONOCULAR ALBEDO RECONSTRUCTION

Lorenz Rogge, Pablo Bauszat, Marcus Magnor, Technische Universität Braunschweig, Germany

ARS-P4.9—TRUNCATED ISOTROPIC PRINCIPAL COMPONENT CLASSIFIER FOR IMAGE CLASSIFICATION

Alessandro Rozza, Hyera Software, Italy; Giuseppe Serra, Costantino Grana, Università degli Studi di Modena e Reggio Emilia, Italy

ARS-P4.10—A NOVEL AND EFFECTIVE METHOD FOR SPECULAR DETECTION AND REMOVAL BY TENSOR VOTING

Nguyen Tam, Nhat Vo, Soo Hyung Kim, Hyung-Jeong Yang, Gueesang Lee, Chonnam National University, Korea

ARS-P4.11—SELF-LOCALIZATION ON TEXTURE STATISTICS

Sven Eberhardt, Christoph Zetzsche, University of Bremen, Germany

ARS-P4.12—COARSE INDOOR LOCALIZATION USING SPACE-TIME AND SEMANTIC-CONTEXT REPRESENTATIONS OF GEO-REFERENCED VIDEO SEQUENCES

Jassem Mansouri, Institut Pascal, France; Bassem Seddik, SAGE ENISo & ISET Kairouan, Tunisia; Sami Gazzah, University of Sousse, Tunisia; Thierry Chateau, Institut Pascal, France

ARS-P4.13—SEMANTIC SEGMENTATION AS IMAGE REPRESENTATION FOR SCENE RECOGNITION

Ahmed Bassiouny, The American University in Cairo & Microsoft Advanced Technology Labs Cairo, Egypt; Motaz El-Saban, Microsoft Research – Cairo Innovation Lab, Egypt

ARS-P4.14—DETECTION OF DYNAMIC OBJECTS FOR ENVIRONMENT MAPPING BY TIME-OF-FLIGHT CAMERAS

Yosef Dalbah, Audi Electronics Venture GmbH, Germany; Stephan Rohr, University of Kaiserslautern, Germany; Friedrich M. Wahl, Technical University of Braunschweig, Germany

ARS-P4.15—VIDEO BACKGROUND MODELING UNDER IMPULSE NOISE

Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA

ARS-P4.16—LINE-BASED GLOBAL DESCRIPTOR FOR OMNIDIRECTIONAL VISION

Alejandro Rituerto, Ana Murillo, Universidad de Zaragoza, Spain; Jose Jesus Guerrero, University of Zaragoza, Spain

ARS-P4.17—AFFINE-INVARIANT SCENE CATEGORIZATION

Xue Wei, Son Lam Phung, Abdesselam Bouzerdoum, University of Wollongong, Australia

ARS-P4.18—VANISHING POINT ESTIMATION FOR CHALLENGING ROAD IMAGES

Qingyun She, Zongqing Lu, Qingmin Liao, Tsinghua University, P.R. China

ARS-P4.19—ANALYZING SEDENTARY BEHAVIOR IN LIFE-LOGGING IMAGES

Mohammad Moghimi Najafabadi, Wanmin Wu, University of California, San Diego, USA; Jacqueline Chen, Medical College of Wisconsin, USA; Suneeta Godbole, Simon Marshall, Jacqueline Kerr, University of California, San Diego, USA; Serge Belongie, Cornell University, USA

ARS-P4.20—SUM-MAX VIDEO POOLING FOR COMPLEX EVENT RECOGNITION

Sang Phan, Duy-Dinh Le, Shin’ichi Satoh, National Institute of Informatics, Japan

ARS-P4.21—NOVEL FRAMEWORK FOR SPORTS VIDEO ANALYSIS: A BASKETBALL CASE STUDY

Chun-Min Chen, Ling-Hwei Chen, National Chiao Tung University, Taiwan

ARS-P4.22—GENRE CATEGORIZATION OF AMATEUR SPORTS VIDEOS IN THE WILD

Seyed Morteza Safdarnejad, Xiaoming Liu, Lalita Udpa, Michigan State University, USA

ARS-P4.23—IT’S ALL ABOUT HABITS: EXPLOITING MULTI-TASK CLUSTERING FOR ACTIVITIES OF DAILY LIVING ANALYSIS

Yan Yan, University of Trento, Italy; Elisa Ricci, University of Perugia, Italy; Negar Rostamzadeh, Nicu Sebe, University of Trento, Italy

ARS-P4.24—MULTI-LEVEL SCENE UNDERSTANDING VIA HIERARCHICAL CLASSIFICATION

Hamilton Clouse, Xiao Bian, Thanos Gentimis, Hamid Krim, North Carolina State University, USA

ARS-P4.25—POSELET-BASED MULTIPLE HUMAN IDENTIFICATION AND COSEGMENTATION

Hongyuan Zhu, Nanyang Technological University, Singapore; Jiangbo Lu, ADSC, France; Jianfei Cai, Jianmin Zheng, Nanyang Technological University, Singapore; Nadia Thalmann, Institute for Media Innovation, Singapore

ELI-P2: Hardware and Software Image-Processing Systems

ELI-P2.1—FAST SAO ESTIMATION ALGORITHM AND ITS VLSI ARCHITECTURE

Jiayi Zhu, Dajiang Zhou, Shinji Kimura, Satoshi Goto, Waseda University, Japan

ELI-P2.2—HIGH-THROUGHPUT MQ CODER ARCHITECTURE BASED ON DEPENDENCE EXTRACTION METHOD

Haiheng Cao, Beihang University, P.R. China; Yongfei Zhang, Beihang University & University of Missouri, P.R. China; Hongxu Jiang, Beihang University, P.R. China

ELI-P2.3—VLSI ARCHITECTURE OF HEVC INTRA PREDICTION FOR 8K UHDTV APPLICATIONS

Jianbin Zhou, Dajiang Zhou, Heming Sun, Satoshi Goto, Waseda University, Japan

ELI-P2.4—A SCALABLE ARCHITECTURE FOR IMPLEMENTING THE FAST DISCRETE PERIODIC RADON TRANSFORM FOR PRIME SIZED IMAGES

Cesar Carranza, Daniel Llamocca, Marios Pattichis, University of New Mexico, USA

ELI-P2.5—HIGH SPEED SAD ARCHITECTURES FOR VARIABLE BLOCK SIZE MOTION ESTIMATION IN HEVC VIDEO CODING

Purnachand Nalluri, Luis Alves, Antonio Navarro, University of Aveiro, Portugal

ELI-P2.6—A HIGH SPEED CONFIGURABLE FPGA ARCHITECTURE FOR BILATERAL FILTERING

Jithin Sankar Sankaran Kutty, Farid Boussaid, University of Western Australia, Australia; Abbes Amira, University of the West of Scotland, United Kingdom

ELI-P2.7—A 610 MBIN/S CABAC DECODER FOR H.265/HEVC LEVEL 6.1 APPLICATIONS

Yijin Zhao, Jinjia Zhou, Dajiang Zhou, Satoshi Goto, Waseda University, Japan

ELI-P2.8—RECONFIGURABLE DATA FLOW ENGINE FOR HEVC MOTION ESTIMATION

Thomas D’huys, INESC-ID/IST, Technical University of Lisbon, Portugal; Svetislav Momcilovic, INESC-ID/UTLisbon, Portugal; Frederico Pratas, INESC-ID, Spain; Leonel Sousa, INESC-ID / IST, Technical University of Lisbon, Portugal

ELI-P2.9—HARDWARE ARCHITECTURE OF THE FAST MODE DECISION ALGORITHM FOR H.265/HEVC

Wenjun Zhao, Takao Onoye, Osaka University, Japan; Tian Song, University of Tokushima & Synthesis, Japan

ELI-P2.10—CORDIC BASED FAST RADIX-2 DCT ALGORITHM

Hai Huang, Liyi Xiao, Harbin Institute of Technology, P.R. China

ELI-P2.11—COLLABORATIVE INTER-PREDICTION ON CPU+GPU SYSTEMS

Svetislav Momcilovic, INESC-ID/UTLisbon, Portugal; Aleksandar Ilic, INESC-ID & IST, Universidade de Lisboa, Portugal; Nuno Roma, INESC-ID, IST, University of Lisbon, Portugal; Leonel Sousa, INESC-ID / IST, Technical University of Lisbon, Portugal

ELI-P2.12—POWER EFFICIENT AND WORKLOAD BALANCED TILING FOR PARALLELIZED HIGH EFFICIENCY VIDEO CODING

Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel, Karlsruhe Institute of Technology, Germany

ELI-P2.13—AN SMPUMHEXAGONS-BASED MOTION ESTIMATION ALGORITHM FOR HETEROGENEOUS ARCHITECTURES

Álvaro García Real, University of Castilla-La Mancha, Spain; Rafael Rodríguez-Sánchez, Universitat Jaume I, Spain; Jose Luis Martinez, University of Castilla-La Mancha, Spain

ELI-P2.14—OPENCL BASED HIGH-QUALITY HEVC MOTION ESTIMATION ON GPU

Fan Wang, Dajiang Zhou, Satoshi Goto, Waseda University, Japan

ELI-P2.15—A PARALLEL TRUE MOTION ESTIMATION METHOD BASED ON BINARIZED CROSS CORRELATION

Francesco Michielin, Giancarlo Calvagno, University of Padova, Italy; Piergiorgio Sartor, Thimo Emmerich, Christian Unruh, Oliver Erdler, Sony Deutschland GmbH, Germany

ELI-P2.16—A FAST MIXED-BAND LIFTING WAVELET TRANSFORM ON THE GPU

Tran Minh Quan, Won-Ki Jeong, Ulsan National Institute of Science and Technology (UNIST), Korea

ELI-P2.17—A HIGHLY PARALLELIZED H.265/HEVC REAL-TIME UHD SOFTWARE ENCODER

Tse Kai Heng, Wataru Asano, Takayuki Itoh, Toshiba, Japan; Akiyuki Tanizawa, Toshiba Corporation, Japan; Jun Yamaguchi, Takuya Matsuo, Tomoya Kodama, Toshiba, Japan

ELI-P2.18—A SENSOR AIDED H.264 ENCODER TESTED ON AERIAL IMAGERY FOR SFM

Cesario Vincenzo Angelino, CIRA, Italy; Luca Cicala, CIRA – the Italian Center for Aerospace Research, Italy; Giuseppe Persechino, CIRA, Italy; Enrico Baccaglini, Marco Gavelli, Nadir Raimondo, Istituto Superiore Mario Boella, Italy

ELI-P2.19—ENERGY CONSUMPTION ANALYSIS AND MODELLING OF A H.264/AVC INTRA-ONLY BASED ENCODER DEDICATED TO WVSNS

Othmane Alaoui-Fdili, LRIT-CNRST URAC29, Mohammed V-Agdal University. Morocco & IEMN UMR 8520, DOAE, UVHC. France, Morocco; Fakhri Youssef, Universite Ibn Tofail Faculty of Sciences, Morocco; Patrick Corlay, François-Xavier Coudoux, University of Valenciennes, France; Driss Aboutajdine, CNRST & LRIT Mohammed V-agdal University, Morocco

ELI-P2.20—A LOW ENERGY HEVC SUB-PIXEL INTERPOLATION HARDWARE

Ercan Kalali, Ilker Hamzaoglu, Sabanci University, Turkey

SMR-P2: Visual Saliency

SMR-P2.1—VISUAL SALIENCY DETECTION USING FEATURE ACTIVITY WEIGHTED DECORRELATION CUES

Shengxiang Qi, Jin-Gang Yu, Ji Zhao, Jie Ma, Jinwen Tian, Huazhong University of Science and Technology, P.R. China

SMR-P2.2—VIDEO SALIENCY DETECTION BASED ON SPATIOTEMPORAL FEATURE LEARNING

Se-Ho Lee, Jin-Hwan Kim, Korea University, Korea; Kwang Pyo Choi, Samsung Electronics, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea

SMR-P2.3—A PRIOR-BASED GRAPH FOR SALIENT OBJECT DETECTION

Jinxia Zhang, Nanjing University of Science and Technology / Brigham and Women’s Hospital, USA; Krista Ehinger, Brigham and Women’s Hospital & Harvard Medical School, USA; Jundi Ding, Jingyu Yang, Nanjing University of Science and Technology, P.R. China

SMR-P2.4—COMPARISON OF VISUAL SALIENCY MODELS FOR COMPRESSED VIDEO

Sayed Hossein Khatoonabadi, Ivan Bajic, Simon Fraser University, Canada; Yufeng Shan, Cisco Systems, USA

SMR-P2.5—A SCALABLE AND EFFICIENT METHOD FOR SALIENT REGION DETECTION USING SAMPLED TEMPLATE COLLATION

Andreas Holzbach, Gordon Cheng, Technische Universität München, Germany

SMR-P2.6—LEARNING VISUAL SALIENCY USING TOPOGRAPHIC INDEPENDENT COMPONENT ANALYSIS

Daria Stefic, Ioannis Patras, Queen Mary, University of London, United Kingdom

SMR-P2.7—INFLUENCE OF COLOR ON VISUAL SALIENCY IN SHORT VIDEOS

Irina Ciortan, Eric Dinet, Alain Trémeau, University Jean Monnet, France

SMR-P2.8—SPATIO-TEMPORAL ANALYSIS OF EYE FIXATIONS DATA IN IMAGES

Puneet Sharma, Norwegian University of Science and Technology (NTNU), Norway; Faouzi Alaya Cheikh, Gjovik University College, Norway; Jon Hardeberg, Gjøvik University College, Norway

SMR-P2.9—SALIENT REGION DETECTION USING BACKGROUND CONTRAST

Yanbang Zhang, Junwei Han, Lei Guo, Northwestern Polytechnical University, P.R. China

SMR-P2.10—EXPLORING COVERT ATTENTION FOR GENERIC BOOSTING OF SALIENCY MODELS

Xiaoshuai Sun, Hongxun Yao, Harbin Institute of Technology, P.R. China

SMR-P2.11—HOW DOES DISTORTION AFFECT SALIENCY APPLIED TO IMAGE QUALITY ASSESSMENT?

Qing Wang, Lin Xu, Qiang Chen, Quansen Sun, Nanjing University of Science and Technology, P.R. China

SMR-P2.12—AN AUDIOVISUAL ATTENTION MODEL FOR NATURAL CONVERSATION SCENES

Antoine Coutrot, Nathalie Guyader, CNRS – Grenoble-Alpes University, France

SMR-P2.13—A PSYCHOPHYSICAL EVALUATION OF THE A CONTRARIO DETECTION THEORY

Samy Blusseau, Ecole Normale Supérieure de Cachan, France; Alejandra Carboni, Alejandro Maiche, CIBPsi, Universidad de la República, Uruguay; Jean-Michel Morel, Rafael Grompone von Gioi, Ecole Normale Supérieure de Cachan, France

SMR-P2.14—ANALYSIS OF IMAGE INFORMATIVENESS MEASURES

Marius Vila, Anton Bardera, Miquel Feixas, University of Girona, Spain; Philippe Bekaert, Hasselt University, Belgium; Mateu Sbert, Institut d’Informatica i Aplicacions, Spain

SMR-P2.15—DEPTH SALIENCY BASED ON ANISOTROPIC CENTER-SURROUND DIFFERENCE

Ran Ju, Ling Ge, Wenjing Geng, Tongwei Ren, Gangshan Wu, Nanjing University, P.R. China

SMR-P2.16—SEMIAUTOMATIC VISUAL-ATTENTION MODELING AND ITS APPLICATION TO VIDEO COMPRESSION

Yury Gitman, Mikhail Erofeev, Dmitriy Vatolin, Lomonosov Moscow State University, Russia; Andrey Bolshakov, IITP RAS & Stankin Moscow State Technological University, Russia; Alexey Fedorov, Lomonosov Moscow State University, Russia

SMR-P2.17—SALIENT OBJECT DETECTION USING BIPARTITE DICTIONARY

Yuna Seo, Donghoon Lee, Chang Yoo, Korea Advanced Institute of Science and Technology, Korea

SMR-P2.18—SALIENT REGION DETECTION VIA COLOR SPATIAL DISTRIBUTION DETERMINED GLOBAL CONTRASTS

Xiaoyun Yan, Yuehuan Wang, Man Jiang, Jun Wang, Huazhong University of Science and Technology, P.R. China

SMR-P2.19—GMM-BASED SALIENCY AGGREGATION FOR CALIBRATION-FREE GAZE ESTIMATION

Jinsoo Choi, Byungtae Ahn, Jaesik Park, In So Kweon, Korea Advanced Institute of Science and Technology, Korea

SMR-P2.20—FOREGROUND OBJECT DETECTION IN HIGHLY DYNAMIC SCENES USING SALIENCY

Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas Huang, University of Illinois at Urbana-Champaign, USA

SMR-P2.21—IMAGE SEAM CARVING USING DEPTH ASSISTED SALIENCY MAP

Fahime Shafieyan, Nader Karimi, Mirmahboub Behzad, Shadrokh Samavi, Isfahan University of Technology, Iran; Shahram Shirani, McMaster University, Canada

SMR-P2.22—SALIENCY DETECTION USING SUPERPIXEL BELIEF PROPAGATION

Soo-Chang Pei, Wen-Wen Chang, National Taiwan University, Taiwan; Chih-Tsung Shen, National Taiwan University & Academia Sinica, Taiwan

TEC-P1: Segmentation of Medical and Biomedical Images

TEC-P1.1—A MUTUAL REFERENCE SHAPE BASED ON INFORMATION THEORY

Stéphanie Jehan-Besson, CNRS GREYC UMR 6072 & Laboratory GREYC, France; Christophe Tilmant, CNRS UMR 6602 Université Blaise Pascal Institut Pascal, France; Alain de Cesare, Sorbonne Universités UPMC Paris 06 CNRS INSERM, France; Alain Lalande, Alexandre Cochet, CNRS UMR 6306 Université Bourgogne Le2I, France; Jean Cousty, Université Paris-Est, France; Jessica Lebenberg, Muriel Lefort, Sorbonne Universités UPMC Paris 06 CNRS INSERM LIB, France; Patrick Clarysse, University of Lyon, France; Régis Clouard, CNRS UMR 6072 GREYC ENSICAEN Université de Caen, France; Laurent Najman, Université Paris-Est, France; Laurent Sarry, Faculté de Médecine, France; Frédérique Frouin, Sorbonne Universités UPMC Paris 06 CNRS INSERM LIB, France; Mireille Garreau, Inserm U1099 Université de Rennes 1 LTSI, France

TEC-P1.2—ACTIVE CONTOURS BASED ON WEIGHTED GRADIENT VECTOR FLOW AND BALLOON FORCES FOR MEDICAL IMAGE SEGMENTATION

Alaa Khadidos, Victor Sanchez, Chang-Tsun Li, University of Warwick, United Kingdom

TEC-P1.3—A NON-LOCAL CHAN-VESE MODEL FOR SPARSE, TUBULAR OBJECT SEGMENTATION

Anna Jezierska, Université Paris-Est, Poland; Olivia Miraucourt, Université de Reims Champagne-Ardenne, France; Hugues Talbot, Université Paris-Est, France; Stéphanie Salmon, Nicolas Passat, Université de Reims Champagne-Ardenne, France

TEC-P1.4—NEW DATA MODEL FOR GRAPH-CUT SEGMENTATION: APPLICATION TO AUTOMATIC MELANOMA DELINEATION

Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Hao Gong, The Third Research Institute of Ministry of Public Security & Center of Internet of Things, P.R. China; Marinette Revenu, ENSICAEN (Ecole Supérieure d’Ingénieurs de Caen), USA; Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France; Michel Desvignes, GRENOBLE-INP, France

TEC-P1.5—ON RETINAL BLOOD VESSEL EXTRACTION USING CURVELET TRANSFORM AND DIFFERENTIAL EVOLUTION BASED MAXIMUM FUZZY ENTROPY

Sudeshna Sil Kar, Indian Institute of Engineering Science and Technology, Shibpur, India; Santi Maity, Bengal Engineering & Science University, Shibpur, India; Claude Delpha, Universite Paris Sud – L2S, France

TEC-P1.6—A ROBUST CONVERGENCE INDEX FILTER FOR BREAST CANCER CELL SEGMENTATION

Baidya Nath Saha, University of Calgary, Canada; Amritpal Saini, Nilanjan Ray, Russell Greiner, Judith Hugh, University of Alberta, Canada; Mauro Tambasco, San Diego State University, Canada

TEC-P1.7—ONE-SHOT SEGMENTATION OF BREAST, PECTORAL MUSCLE, AND BACKGROUND IN DIGITISED MAMMOGRAMS

Arnau Oliver, Xavier Lladó, Albert Torrent, Joan Martí, University of Girona, Spain

TEC-P1.8—A FORMAL METHOD FOR SELECTING EVALUATION METRICS FOR IMAGE SEGMENTATION

Abdel Aziz Taha, Allan Hanbury, Vienna University of Technology, Austria; Oscar Jimenez del Toro, University of Applied Sciences Western Swizerland, Switzerland

TEC-P1.9—A LEVEL-SET APPROACH FOR TRACKING OBJECTS IN IMAGE SEQUENCES USING A LEVEL CONSERVATION CONSTRAINT: APPLICATION TO CARDIAC SEQUENCES

Thomas Dietenbeck, ISIT Lab – UMR 6284 CNRS-UdA, University of Clermont, France; Daniel Barbosa, Martino Alessandrini, Jan D’hooge, Katholieke Universiteit Leuven, Portugal; Denis Friboulet, Olivier Bernard, CREATIS & INSA Lyon, France

TEC-P1.10—AUTOMATIC BLASTOMERE DETECTION IN DAY 1 TO DAY 2 HUMAN EMBRYO IMAGES USING PARTITIONED GRAPHS AND ELLIPSOIDS

Amarjot Singh, John Buonassisi, Parvaneh Saeedi, Simon Fraser University, Canada; Jon Havelock, Pacific Centre for Reproductive Medicine, Canada

TEC-P1.11—AUTOMATIC METHOD FOR TUMOR SEGMENTATION FROM 3-POINTS DYNAMIC PET ACQUISITIONS

Francesco Verdoja, Marco Grangetto, Università degli Studi di Torino, Italy; Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi, Istituto per la Ricerca e la Cura del Cancro, Italy

TEC-P1.12—FAST AND ROBUST IMAGE SEGMENTATION USING AN SUPERPIXEL BASED FCM ALGORITHM

Shi-xiang Jia, Caiming Zhang, Shandong University, P.R. China

TEC-P1.13—LUNG SEGMENTATION BASED ON NONNEGATIVE MATRIX FACTORIZATION

Ehsan Hosseini-Asl, Jacek Zurada, Ayman El-Baz, University of Louisville, USA

TEC-P1.14—VFCCV SNAKE: A NOVEL ACTIVE CONTOUR MODEL COMBINING EDGE AND REGIONAL INFORMATION

Jiuyu Sun, Nilanjan Ray, Hong Zhang, University of Alberta, Canada

TEC-P1.15—COMPARATIVE PERFORMANCE OF TEXTON BASED VASCULAR TREE SEGMENTATION IN RETINAL IMAGES

Lei Zhang, University of East Anglia, United Kingdom; Mark Fisher, The University of East Anglia, United Kingdom; Wenjia Wang, University of East Anglia, United Kingdom

TEC-P1.16—GRAPH-BASED SKIN LESION SEGMENTATION OF MULTISPECTRAL DERMOSCOPIC IMAGES

Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France; Marinette Revenu, ENSICAEN (Ecole Supérieure d’Ingénieurs de Caen), USA; Michel Desvignes, GRENOBLE-INP, France

TEC-P1.17—SPATIAL DENSITY ESTIMATION BASED SEGMENTATION OF SUPER-RESOLUTION LOCALIZATION MICROSCOPY IMAGES

Kuan-Chieh Chen, Ge Yang, Jelena Kovacevic, Carnegie Mellon University, USA

TEC-P1.18—UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT IMAGE SEGMENTATION

Ahmed Gawish, Paul Fieguth, Sebastian Marschall, Kostadinka Bizheva, University of Waterloo, Canada

TEC-P1.19—3D INTERACTIVE CORONARY ARTERY SEGMENTATION USING RANDOM FORESTS AND MARKOV RANDOM FIELD OPTIMIZATION

Jingjing Deng, Xianghua Xie, Swansea University, United Kingdom; Robin Alcock, Carl Roobottom, Plymouth Hospital, United Kingdom

TEC-P2: Compressive Sensing

TEC-P2.1—RECONSTRUCTION OF COMPRESSIVELY SAMPLED ULTRASOUND IMAGES USING DUAL PRIOR INFORMATION

Alin Achim, University of Bristol, United Kingdom; Adrian Basarab, University of Toulouse, France; George Tzagkarakis, CEA, France; Panagiotis Tsakalides, FORTH-ICS and University of Crete, Greece; Denis Kouamé, University of Toulouse, France

TEC-P2.2—BLIND SPECTRAL UNMIXING FOR COMPRESSIVE HYPERSPECTRAL IMAGING OF HIGHLY MIXED DATA

William Lee, Mark Andrews, University of Auckland, New Zealand

TEC-P2.3—A SPARSE KACZMARZ SOLVER AND A LINEARIZED BREGMAN METHOD FOR ONLINE COMPRESSED SENSING

Dirk Lorenz, Stephan Wenger, Technische Universität Braunschweig, Germany; Frank Schöpfer, Carl von Ossietzky Universität Oldenburg, Germany; Marcus Magnor, Technische Universität Braunschweig, Germany

TEC-P2.4—DETAIL-PRESERVING COMPRESSIVE SENSING RECOVERY BASED ON CARTOON TEXTURE IMAGE DECOMPOSITION

Thuong Nguyen Canh, Khanh Dinh, Byeungwoo Jeon, Sungkyunkwan University, Korea

TEC-P2.5—PHASE RETRIEVAL OF SPARSE SIGNALS USING OPTIMIZATION TRANSFER AND ADMM

Daniel Weller, University of Michigan, USA; Ayelet Pnueli, Ori Radzyner, Gilad Divon, Yonina Eldar, Technion, Israel; Jeff Fessler, University of Michigan, USA

TEC-P2.6—DOWNWARD SPATIALLY-SCALABLE IMAGE RECONSTRUCTION BASED ON COMPRESSED SENSING

Shuyuan Zhu, Bing Zeng, University of Electronic Science and Technology of China, P.R. China; Lu Fang, University of Science and Technology of China, P.R. China; Moncef Gabbouj, Tampere University of Technology, Finland

TEC-P2.7—SPARSE IMAGE RECOVERY USING COMPRESSED SENSING OVER FINITE ALPHABETS

Valerio Bioglio, Università di Torino, Italy; Giulio Coluccia, Enrico Magli, Politecnico di Torino, Italy

TEC-P2.8—REAL-TIME COMPRESSED IMAGING OF SCATTERING VOLUMES

Ohad Menashe, Alex Bronstein, Tel Aviv University, Israel

TEC-P2.9—RECURSIVE PROJECTED SPARSE MATRIX RECOVERY (REPROSMR) WITH APPLICATION IN REAL-TIME VIDEO LAYER SEPARATION

Chenlu Qiu, Xiaodong Wu, Huiying Xu, Traffic Management Research Institute of the Ministry of Public Security, P.R. China

TEC-P2.10—GENERALIZED-KFCS: MOTION ESTIMATION ENHANCED KALMAN FILTERED COMPRESSIVE SENSING FOR VIDEO

Xin Ding, University of Cambridge, United Kingdom; Wei Chen, Beijing Jiaotong University, P.R. China; Ian Wassell, University of Cambridge, United Kingdom

TEC-P2.11—RECONSTRUCTION OF COMPRESSIVELY SAMPLED TEXTURE IMAGES IN THE GRAPH-BASED TRANSFORM DOMAIN

Stefania Colonnese, Stefano Rinauro, Katia Mangone, Mauro Biagi, Roberto Cusani, Gaetano Scarano, Università La Sapienza di Roma, Italy

TEC-P2.12—ADAPTIVE MEASUREMENT RATE ALLOCATION FOR BLOCK-BASED COMPRESSED SENSING OF DEPTH MAPS

Krishna Rao Vijayanagar, Ying Liu, Joohee Kim, Illinois Institute of Technology, USA

TEC-P2.13—SPLIT BREGMAN ALGORITHMS FOR SPARSE / JOINT-SPARSE AND LOW-RANK SIGNAL RECOVERY: APPLICATION IN COMPRESSIVE HYPERSPECTRAL IMAGING

Anupriya Gogna, IIIT-Delhi, India; Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar, Indraprastha Institute of Information Technology, India

TEC-P2.14—COMPRESSED SENSING RECONSTRUCTION OF 3D ULTRASOUND DATA USING DICTIONARY LEARNING

Oana Lorintiu, Hervé Liebgott, CREATIS & INSA Lyon, France; Martino Alessandrini, Katholieke Universiteit Leuven, Belgium; Olivier Bernard, Denis Friboulet, CREATIS & INSA Lyon, France

TEC-P2.15—A HIERARCHICAL BAYESIAN-MAP APPROACH TO COMPUTATIONAL IMAGING

Raghu Raj, United States Naval Research Laboratory, Washington D. C., USA; Alan Bovik, University of Texas at Austin, USA

ARS-L4: Manifold Learning

16:30  ARS-L4.1—UNSUPERVISED MANIFOLD LEARNING BY CORRELATION GRAPH AND STRONGLY CONNECTED COMPONENTS FOR IMAGE RETRIEVAL

Daniel Pedronette, São Paulo State University, Brazil; Ricardo Torres, Institute of Computing, State University of Campinas, Brazil

16:30  ARS-L4.2—LEARNING IMAGE MANIFOLD USING NEIGHBORING SIMILARITY INTEGRATION

Songsong Wu, Xiaoyuan Jing, Nanjing University of Posts and Telecommunications, P.R. China; Jian Yang, Jingyu Yang, Nanjing University of Science and Technology, P.R. China

16:30  ARS-L4.3—VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MANIFOLDS BY ONE-CLASS SUPPORT VECTOR MACHINES

Yixiao Yun, Chalmers University of Technology, Sweden; Keren Fu, Shanghai Jiao Tong University, P.R. China; Irene Y. H. Gu, Chalmers University of Technology, Sweden; Jie Yang, Shanghai Jiao Tong University, P.R. China

16:30  ARS-L4.4—LEARNING ASSOCIATE APPEARANCE MANIFOLDS FOR CROSS-POSE FACE RECOGNITION

Xue Chen, Chunheng Wang, Baihua Xiao, Xinyuan Cai, Institute of Automation, Chinese Academy of Sciences, P.R. China

16:30  ARS-L4.5—IMPROVING HEAD AND BODY POSE ESTIMATION THROUGH SEMI-SUPERVISED MANIFOLD ALIGNMENT

Alexandre Heili, Idiap Research Institute, Switzerland; Jagannadan Varadarajan, Advanced Digital Sciences Center, Singapore; Bernard Ghanem, King Abdullah University of Science and Technology, Saudi Arabia; Narendra Ahuja, University of Illinois at Urbana-Champaign, USA; Jean-Marc Odobez, IDIAP, Switzerland

ARS-L5: Optical Flow Estimation

16:30  ARS-L5.1—ROBUST PROBABILISTIC OPTICAL FLOW FOR VIDEO SEQUENCES

Cornelia Vacar, University of Bordeaux, France; Farida Cheriet, Université de Montréal, Canada

16:50  ARS-L5.2—CROSS BASED ROBUST LOCAL OPTICAL FLOW

Tobias Senst, Thilo Borgmann, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany

17:10  ARS-L5.3—LOCAL TEXTURE BASED OPTICAL FLOW FOR COMPLEX BRIGHTNESS VARIATIONS

Chen Wang, Zongqing Lu, Qingmin Liao, Tsinghua University, P.R. China

17:30  ARS-L5.4—OPTICAL FLOW FOR NON LAMBERTIAN SURFACES BY CANCELLING ILLUMINANT CHROMATICITY

Chetan Arora, The Hebrew University of Jerusalem, Israel; Michael Werman, Hebrew University of Jerusalem, Israel

17:50  ARS-L5.5—ARE REFLECTANCE FIELD RENDERINGS APPROPRIATE FOR OPTICAL FLOW EVALUATION?

Burkhard Güssefeld, Daniel Kondermann, University of Heidelberg, Germany; Christopher Schwartz, Reinhard Klein, University of Bonn, Germany

SMR-L1: Image and Video Quality

16:30  SMR-L1.1—NEURALLY INFORMED ASSESSMENT OF PERCEIVED NATURAL TEXTURE IMAGE QUALITY

Sebastian Boße, Fraunhofer HHI, Germany; Laura Acqualagna, Anne Porbadnigk, Benjamin Blankertz, Berlin Institute of Technology, Germany; Gabriel Curio, Charité-Universitätsmedizin Berlin, Germany; Klaus-Robert Müller, Berlin Institute of Technology, Germany; Thomas Wiegand, Fraunhofer HHI, Germany

16:50  SMR-L1.2—STRUCTURAL TEXTURE SIMILARITY METRIC BASED ON INTRA-CLASS VARIANCES

Matteo Maggioni, Tampere University of Technology, Finland; Guoxin Jin, Northwestern University, USA; Alessandro Foi, Tampere University of Technology, Finland; Thrasyvoulos Pappas, Northwestern University, USA

17:10  SMR-L1.3—FULL REFERENCE VIDEO QUALITY ESTIMATION FOR VIDEOS WITH DIFFERENT SPATIAL RESOLUTIONS

Murat Demirtas, University of California, Irvine, USA; Amy Reibman, AT&T Labs – Research, USA; Hamid Jafarkhani, University of California, Irvine, USA

17:30  SMR-L1.4—STEREOSCOPIC IMAGE QUALITY METRIC BASED ON LOCAL ENTROPY AND BINOCULAR JUST NOTICEABLE DIFFERENCE

Sid Ahmed Fezza, University of Oran, Algeria; Chaker Larabi, Université de Poitiers, France; Kamel Mohamed Faraoun, Djillali Liabes University, Algeria

17:50  SMR-L1.5—DELIVERY QUALITY SCORE MODEL FOR INTERNET VIDEO

Hojatollah Yeganeh, Roman Kordasiewicz, Michael Gallant, Avvasi, Canada; Deepti Ghadiyaram, Alan Bovik, University of Texas at Austin, USA

TEC-L3: Magnetic Resonance Imaging

16:30  TEC-L3.1—ENTROPY RATE ESTIMATION FOR VECTOR PROCESSES: APPLICATION TO COMPLEX FMRI ANALYSIS

Gengshen Fu, Wei Du, Tulay Adali, University of Maryland, Baltimore County, USA

16:50  TEC-L3.2—UNSUPERVISED WHITE MATTER FIBER TRACTS CLUSTERING METHODOLOGY WITH APPLICATION ON BRAIN MRI DATA

Larbi Boubchir, University of Northumbria, United Kingdom; François Rousseau, ICube UMR 7357, CNRS-Université de Strasbourg, France

17:10  TEC-L3.3—MODEL-BASED ESTIMATION OF T2 MAPS WITH DUAL-ECHO STEADY-STATE MR IMAGING

Gopal Nataraj, Jon-Fredrik Nielsen, Jeff Fessler, University of Michigan, USA

17:30  TEC-L3.4—A REGULARIZED TRUST REGION METHOD FOR JOINT RECONSTRUCTION OF SPIN MAGNITUDE, $T_2^*$ DECAY, AND OFF-RESONANCE FIELD MAP

Chenxi Hu, Stanley Reeves, Auburn University, USA

17:50  TEC-L3.5—BRAIN TUMOR SEGMENTATION FROM MULTIPLE MRI SEQUENCES USING MULTIPLE KERNEL LEARNING

Naouel Boughattas, Maxime Berar, Université de Rouen, France; Kamel Hamrouni, ENIT, Tunis, Tunisie, Tunisia; Su Ruan, Université de Rouen, France

SS13: Advances in Facial Morpho-Functional Sign Recognition and Analysis

Session Chairs: A. Enis Cetin, Bilkent University; Sara Colantonio, ISTI-CNR

16:30  SS13.1—THE THERMAL DIMENSION OF PSYCHOPHYSIOLOGICAL AND EMOTIONAL RESPONSES REVEALED BY THERMAL INFRARED IMAGING

Daniela Cardone, University of Chieti-Pescara, Italy; Arcangelo Merla, University of Chieti-Pescara & ITAB – Institute for Advanced Biomedical Technology, Italy

16:50  SS13.2—AUTOMATIC HEART RATE ESTIMATION FROM PAINFUL FACES

Philipp Werner, University of Magdeburg, Germany; Ayoub Al-Hamadi, Otto von Guericke University Magdeburg, Germany; Steffen Walter, Sascha Gruss, Harald Traue, University of Ulm, Germany

17:10  SS13.3—CLICK AND SHARE: A FACE RECOGNITION TOOL FOR THE MOBILE COMMUNITY

Sara Casti, Fabio Sorrentino, Lucio Davide Spano, Riccardo Scateni, University of Cagliari, Italy

17:30  SS13.4—HEAD POSE TRACKING FOR IMMERSIVE APPLICATIONS

Pedro Henriquez, Oscar Higuera, Bogdan Matuszewski, University of Central Lancashire, United Kingdom

SS3: Plenoptic Imaging (Capture, Representation, Processing and Display)

Session Chairs: Atanas Gotchev, Tampere University of Technology; Mårten Sjöström, Mid Sweden University

16:30  SS3.1—TILTED LAYER-BASED MODELING FOR ENHANCED LIGHT-FIELD PROCESSING AND IMAGE BASED RENDERING

James Pearson, Marco Visentini-Scarzanella, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom

16:50  SS3.2—THE RADON IMAGE AS PLENOPTIC FUNCTION

Todor Georgiev, Qualcomm, USA; Salil Tambe, Rice University, USA; Andrew Lumsdaine, Indiana University, USA; Jennifer Gille, Qualcomm, USA; Ashok Veeraraghavan, Rice University, USA

17:10  SS3.3—3D KEYPOINT DETECTION BY LIGHT FIELD SCALE-DEPTH SPACE ANALYSIS

Ivana Toši?, Kathrin Berkner, Ricoh Innovations, Corp., USA

17:30  SS3.4—SPATIAL RESOLUTION IN A MULTI-FOCUS PLENOPTIC CAMERA

Mitra Damghanian, Roger Olsson, Mårten Sjöström, Mid Sweden University, Sweden; Arne Erdmann, Christian Perwass, Raytrix GmbH, Germany

17:50  SS3.5—DENSE LIGHTFIELD RECONSTRUCTION FROM MULTI APERTURE CAMERAS

Matthias Ziegler, Frederik Zilly, Peter Schäfer, Joachim Keinert, Michael Schöberl, Siegfried Foessel, Fraunhofer IIS, Germany

ARS-P5: Face Analysis

ARS-P5.1—ADAPTIVE FEATURE SELECTION AND DATA PRUNING FOR 3D FACIAL EXPRESSION RECOGNITION USING THE KINECT

Sherin Aly, Virginia Tech & IGSR, Alexandria University, USA; Amira Youssef, The City of Scientific Research and Technological Applications, Egypt; Lynn Abbott, Virginia Tech, USA

ARS-P5.2—REMOTE PPG BASED VITAL SIGN MEASUREMENT USING ADAPTIVE FACIAL REGIONS

H. Emrah Tasli, University of Amsterdam & Vicarious Perception Technologies, The Netherlands; Amogh Gudi, University of Amsterdam, The Netherlands; Marten den Uyl, Vicarious Perception Technologies, The Netherlands

ARS-P5.3—FACIAL GRID TRANSFORMATION: A NOVEL FACE REGISTRATION APPROACH FOR IMPROVING FACIAL ACTION UNIT RECOGNITION

Shizhong Han, Zibo Meng, Ping Liu, Yan Tong, University of South Carolina, USA

ARS-P5.4—JOINTLY DETECTING INFANTS’ MULTIPLE FACIAL ACTION UNITS EXPRESSED DURING SPONTANEOUS FACE-TO-FACE COMMUNICATION

Nazanin Zaker, Mohammad Mahoor, University of Denver, USA; Daniel Messinger, University of Miami, USA; Jeffrey Cohn, University Pittsburg, USA

ARS-P5.5—AN ADAPTIVE GROUP LASSO BASED MULTI-LABEL REGRESSION APPROACH FOR FACIAL EXPRESSION ANALYSIS

Kaili Zhao, Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, P.R. China

ARS-P5.6—FACIAL ACTION UNIT INTENSITY ESTIMATION USING ROTATION INVARIANT FEATURES AND REGRESSION ANALYSIS

Deniz Bingöl, Turgay Celik, Christian Omlin, Hima Vadapalli, University of the Witwatersrand, South Africa

ARS-P5.7—LEARNING SYMMETRIC FACE POSE MODELS ONLINE USING LOCALLY WEIGHTED PROJECTRON REGRESSION

Jawad Nagi, Gianni Di Caro, Alessandro Giusti, Luca Maria Gambardella, Dalle Molle Institute for Artificial Intelligence, Switzerland

ARS-P5.8—ONE SHOT EMOTION SCORES FOR FACIAL EMOTION RECOGNITION

Albert Cruz, Bir Bhanu, Ninad Thakoor, University of California, Riverside, USA

ARS-P5.9—WHAT DOES COMPUTER VISION SAY ABOUT FACE READING?

Terence Sim, Jing Wei, Wei Tsang Ooi, National University of Singapore, Singapore

ARS-P5.10—RESOLUTION LIMITS ON VISUAL SPEECH RECOGNITION

Helen Bear, Richard Harvey, Barry-John Theobald, Yuxuan Lan, University of East Anglia, United Kingdom

ARS-P5.11—FAST NEWTON ACTIVE APPEARANCE MODELS

Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic, Imperial College London, United Kingdom

ARS-P5.12—3D FACIAL GEOMETRIC FEATURES FOR CONSTRAINED LOCAL MODEL

Shiyang Cheng, Stefanos Zafeiriou, Akshay Asthana, Maja Pantic, Imperial College London, United Kingdom

ARS-P5.13—SLOW FEATURES NONNEGATIVE MATRIX FACTORIZATION FOR TEMPORAL DATA DECOMPOSITION

Lazaros Zafeiriou, Symeon Nikitidis, Stefanos Zafeiriou, Maja Pantic, Imperial College London, United Kingdom

ARS-P5.14—FIDUCIAL FACIAL POINT EXTRACTION WITH CROSS RATIO

Hao Wang, Xin Fan, Yuntao Li, Dalian University of Technology, P.R. China

ARS-P5.15—LOCAL AGE GROUP MODELING IN UNCONSTRAINED FACE IMAGES FOR FACIAL AGE CLASSIFICATION

Seung-Ho Lee, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea

ARS-P5.16—FAST EYE LOCALIZATION WITHOUT A FACE MODEL USING INNER PRODUCT DETECTORS

Gabriel Araujo, Felipe Ribeiro, Eduardo da Silva, Federal University of Rio de Janeiro, Brazil; Siome Goldenstein, University of Campinas, Brazil

ARS-P5.17—MARKED POINT PROCESS MODEL FOR FACIAL WRINKLE DETECTION

Seong-Gyun Jeong, Yuliya Tarabalka, INRIA, France; Josiane Zerubia, INRIA, Sophia Antipolis, France

ARS-P6: Action and Gesture Analysis

ARS-P6.1—RANDOMIZED DECISION BUSH: COMBINING GLOBAL SHAPE PARAMETERS AND LOCAL SCALABLE DESCRIPTORS FOR HUMAN BODY PARTS RECOGNITION

ByungIn Yoo, Samsung Advanced Institute of Technology & Korea Advanced Institute of Science and Technology, Korea; Wonjun Kim, Jae-Joon Han, Samsung Advanced Institute of Technology, Korea; Changkyu Choi, Samsung Electronics, Korea; Dusik Park, Samsung Advanced Institute of Technology, Korea; Junmo Kim, Korea Advanced Institute of Science and Technology, Korea

ARS-P6.2—KINECT-BASED MULTIMODAL GESTURE RECOGNITION USING A TWO-PASS FUSION SCHEME

Georgios Pavlakos, Stavros Theodorakis, Vassilis Pitsikalis, Athanasios Katsamanis, Petros Maragos, National Technical University of Athens, Greece

ARS-P6.3—GESTURE DYNAMICS MODELING FOR ATTITUDE ANALYSIS USING GRAPH BASED TRANSFORM

Zhaojun Yang, Antonio Ortega, Shrikanth Narayanan, University of Southern California, USA

ARS-P6.4—LABEL PROPAGATION ON DATA WITH MULTIPLE REPRESENTATIONS THROUGH MULTI-GRAPH LOCALITY PRESERVING PROJECTIONS

Olga Zoidi, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

ARS-P6.5—HAND GESTURE RECOGNITION WITH LEAP MOTION AND KINECT DEVICES

Giulio Marin, Fabio Dominio, Pietro Zanuttigh, University of Padova, Italy

ARS-P6.6—AN EFFICIENT METHOD FOR HUMAN POINTING ESTIMATION FOR ROBOT INTERACTION

Satoshi Ueno, Sei Naito, KDDI R&D Laboratories, Japan; Tsuhan Chen, Cornell University, USA

ARS-P6.7—HAND POSTURE RECOGNITION USING APPROXIMATE VANISHING IDEAL GENERATORS

Yanguo Zhao, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China; Zhan Song, The Chinese University of Hong Kong, P.R. China

ARS-P6.8—A CORRESPONDENCE BASED METHOD FOR ACTIVITY RECOGNITION IN HUMAN SKELETON MOTION SEQUENCES

Eftychia Fotiadou, Nikos Nikolaidis, Aristotle University of Thessaloniki, Greece

ARS-P6.9—SMILE DETECTION IN UNCONSTRAINED SCENARIOS USING SELF-SIMILARITY OF GRADIENTS FEATURES

Hong Liu, Yuan Gao, Peking University, P.R. China; Pingping Wu, Peking University Shenzhen Graduate School, P.R. China

ARS-P6.10—ACTION CLASSIFICATION BY EXPLORING DIRECTIONAL CO-OCCURRENCE OF WEIGHTED STIPS

Mengyuan Liu, Hong Liu, Qianru Sun, Peking University, P.R. China

ARS-P6.11—ACTION RECOGNITION BASED ON KINEMATIC REPRESENTATION OF VIDEO DATA

Xin Sun, Beihang University, P.R. China; Di Huang, IRIP Laboratory, Beihang University, P.R. China; Yunhong Wang, Jie Qin, Beihang University, P.R. China

ARS-P6.12—DETECTING SELF-STIMULATORY BEHAVIOURS FOR AUTISM DIAGNOSIS

Shyam Sundar Rajagopalan, Roland Goecke, University of Canberra, Australia

ARS-P6.13—HUMAN ACTION RECOGNITION BASED ON BAG OF FEATURES AND MULTI-VIEW NEURAL NETWORKS

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

ARS-P6.14—FREQUENCYGRAMS AND MULTI-FEATURE JOINT SPARSE REPRESENTATION FOR ACTION AND GESTURE RECOGNITION

Tushar Sandhan, Jin Young Choi, Seoul National University, Korea

ARS-P6.15—DENSE BODY PART TRAJECTORIES FOR HUMAN ACTION RECOGNITION

Ramana Oruganti, Ibrahim Radwan, Roland Goecke, University of Canberra, Australia

ARS-P6.16—ADVANCES ON ACTION RECOGNITION IN VIDEOS USING AN INTEREST POINT DETECTOR BASED ON MULTIBAND SPATIO-TEMPORAL ENERGIES

Kevis Maninis, Petros Koutras, Petros Maragos, National Technical University of Athens, Greece

ARS-P6.17—AUTOMATIC EXTRACTION OF SEMANTIC FEATURES FOR REAL-TIME ACTION RECOGNITION USING DEPTH ARCHITECTURE NETWORKS

Thang Tran, Fan Chen, Kazunori Kotani, Japan Advanced Institute of Science and Technology, Japan; Bac Le, University of Science, Vietnam

ARS-P6.18—BAGS-OF-DAGLETS FOR ACTION RECOGNITION

Ling Wang, Hichem Sahbi, Telecom ParisTech, France

ARS-P6.19—TREND-SENSITIVE HOUGH FORESTS FOR ACTION DETECTION

Kensho Hara, Takatsugu Hirayama, Kenji Mase, Nagoya University, Japan

ARS-P6.20—HISTOGRAM OF DMHI AND LBP IMAGES TO REPRESENT HUMAN ACTIONS

Sheikh Mohammad Ahsan, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa, Kyushu Institute of Technology, Japan

ARS-P6.21—2D ARTICULATED HUMAN POSE TRACKING: A HYBRID APPROACH

Ali Hassan, Murtaza Taj, Lahore University of Management Sciences, Pakistan

ARS-P6.22—ACTION RECOGNITION IN VIDEOS USING FREQUENCY ANALYSIS OF CRITICAL POINT TRAJECTORIES

Cyrille Beaudry, Renaud Péteri, Laurent Mascarilla, MIA – University La Rochelle, France

ARS-P6.23—LEARNING DISCRIMINATE FEATURES AND METRICS FOR MEASURING ACTION SIMILARITY

Yang Yang, Mubarak Shah, University of Central Florida, USA

ARS-P6.24—MULTI-CHANNEL CORRELATION FILTERS FOR HUMAN ACTION RECOGNITION

Hamed Kiani Galoogahi, Terence Sim, National University of Singapore, Singapore; Simon Lucey, CSIRO, Australia

ARS-P6.25—DISCOVERING DISTINCTIVE ACTION PARTS FOR ACTION RECOGNITION

Feifei Chen, Nong Sang, Changxin Gao, Xiaoqin Kuang, Huazhong University of Science and Technology, P.R. China

ARS-P6.26—LOW-RANK BASED COMPACT REPRESENTATION OF MOTION CAPTURE DATA

Junhui Hou, Lap-Pui Chau, Ying He, Nanyang Technological University, Singapore; Nadia Thalmann, Institute for Media Innovation, Singapore

ARS-P7: Object Detection

ARS-P7.1—AN EFFICIENT NAIVE BAYES APPROACH TO CATEGORY-LEVEL OBJECT DETECTION

Kasim Terzic, J. du Buf, University of the Algarve, Portugal

ARS-P7.2—OPTICAL FLOW BASED DYNAMIC CURVED VIDEO TEXT DETECTION

Palaiahnakote Shivakumara, Mohamed Lubani, KokSheik Wong, University of Malaya, Malaysia; Tong Lu, Nanjing University, P.R. China

ARS-P7.3—AUTONOMOUS MULTI-SCALE OBJECT DETECTION WITH HOUGH FORESTS

Maria Scalzo, Syracuse University & AFRL Information Directorate, USA; Senem Velipasalar, Syracuse University, USA

ARS-P7.4—OBJECT RECONSTRUCTION IN AN IMAGE BASED ON BELIEF FUNCTION REPRESENTATION

Wafa Rekik, University Paris-Sud. & Institut d’Électronique Fondamentale (IEF), France; Sylvie Le Hégarat, Cyril André, Paris Sud Orsay, France; Abdelaziz Kallel, ISECS Sfax, Tunisia; Roger Reynaud, Paris Sud Orsay, France; Ahmed Ben Hamida, University of Sfax, Tunisia

ARS-P7.5—HISTOGRAMS OF ORIENTED GRADIENTS FOR FAST ON-BOARD VEHICLE VERIFICATION

Gonzalo Ballesteros, Luis Salgado, Universidad Autónoma de Madrid, Spain

ARS-P7.6—SHELF DETECTION VIA VANISHING POINT AND RADIAL PROJECTION

Jian Fan, Tong Zhang, Hewlett-Packard Laboratories, USA

ARS-P7.7—OBJECT CATEGORY DETECTION BY INCORPORATING MID-LEVEL GROUPING CUES

Gao Zhu, Yansheng Ming, Hongdong Li, Australian National University, Australia

ARS-P7.8—A COMPUTER VISION APPROACH FOR DETECTION AND QUANTIFICATION OF FEED PARTICLES IN MARINE FISH FARMS

Kristoffer Skøien, Norwegian University of Science and Technology, Norway; Morten Alver, SINTEF Fisheries and Aquaculture AS, Norway; Jo Arve Alfredsen, Norwegian University of Science and Technology, Norway

ARS-P7.9—CIRCULAR SPOT DETECTION AND SEGMENTATION WITH ROTATING LINE LOCAL BINARY ANALYSIS

Dongbo Zhang, Xia Liu, Xiangtan University, P.R. China

ARS-P7.10—WEAKLY SUPERVISED OBJECT LOCALIZATION VIA MAXIMAL ENTROPY RANDOM WALK

Liantao Wang, Nanjing University of Science and Technology, P.R. China; Ji Zhao, Carnegie Mellon University, P.R. China; Xuelei Hu, Jianfeng Lu, Nanjing University of Science and Technology, P.R. China

ARS-P7.11—USING LARGE COLOR LBP IN GENERALIZED HOUGH TRANSFORM

Jun-Jie Huang, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong

ARS-P7.12—ROBUST SCENE TEXT DETECTION USING INTEGRATED FEATURE DISCRIMINATION

Qixiang Ye, David Doermann, University of Maryland Institute for Advanced Computer Studies, USA

ARS-P7.13—FACADE REPETITION EXTRACTION USING BLOCK MATRIX BASED MODEL

Hongfei Xiao, Gaofeng Meng, Lingfeng Wang, Shiming Xiang, Chunhong Pan, Chinese Academy of Sciences, P.R. China

ARS-P7.14—HOUGH-BASED OBJECT DETECTION WITH GROUPED FEATURES

Abhilash Srikantha, Juergen Gall, University of Bonn, Germany

ARS-P7.15—AUTOMATED CRATER DETECTION AND COUNTING USING THE HOUGH TRANSFORM

Monty Galloway, University of Western Australia, Australia; Gretchen Benedix, Phil Bland, Jonathan Paxman, Martin Towner, Tele Tan, Curtin University, Australia

ARS-P7.16—MIRROR REFLECTION INVARIANT HOG DESCRIPTORS FOR OBJECT DETECTION

Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada, University of Tokyo, Japan

ARS-P7.17—VESSEL EXTRACTION USING ANISOTROPIC MINIMAL PATHS AND PATH SCORE

Da Chen, Laurent Cohen, Jean-Marie Mirebeau, Université Paris-Dauphine, France

ARS-P7.18—MULTI-SCALE CAR DETECTION AND LOCALIZATION USING CONTOUR FRAGMENTS

Lei Li, Seong Beak Yoon, Jixuan Liu, Juneho Yi, Sungkyunkwan University, Korea

ARS-P7.19—IMAGE PATCH ANALYSIS AND CLUSTERING OF SUNSPOTS: A DIMENSIONALITY REDUCTION APPROACH

Kevin Moon, Jimmy Li, University of Michigan, USA; Véronique Delouille, Royal Observatory of Belgium, Belgium; Fraser Watson, National Solar Observatory, USA; Alfred Hero III, University of Michigan, USA

ARS-P7.20—K-SVD DICTIONARY LEARNING USING A FAST OMP WITH APPLICATIONS

M. r. Azimi-Sadjadi, Justin Kopacz, Nicholas Klausner, Colorado State University, USA

ARS-P7.21—WIDE-BASELINE IMAGE CHANGE DETECTION

Ziggy Jones, Mike Brookes, Pier Luigi Dragotti, Imperial College London, United Kingdom; David Benton, L-3 TRL Technology, United Kingdom

ARS-P7.22—OBSTACLE DETECTION BY MEANS OF STEREO FEATURE MATCHING

Ajay Mittal, PEC University of Technology, India; Abdelaziz Bensrhair, INSA de Rouen, France; Edwin Hancock, University of York, United Kingdom

ARS-P7.23—PLANETARY ROVER LOCALIZATION WITHIN ORBITAL MAPS

Ara Nefian, Carnegie Mellon University, USA; Xavier Bouyssounouse, Laurence Edwards, Taemin Kim, NASA Ames Research Center, USA; Emily Hand, Jared Rhizor, University of Nevada, Reno, USA; Matthew Deans, NASA Ames Research Center, USA; George Bebis, University of Nevada, Reno, USA; Terry Fong, NASA Ames Research Center, USA

ARS-P7.24—MOVING CAST SHADOW DETECTION USING ONLINE SUB-SCENE SHADOW MODELING AND OBJECT INNER-EDGES ANALYSIS

Jun Wang, Yuehuan Wang, Man Jiang, Xiaoyun Yan, Huazhong University of Science and Technology, P.R. China

TEC-P3: Formation and Reconstruction

TEC-P3.1—NUMERICAL STUDY OF AN OPTIMIZATION PROBLEM FOR MOSAIC ACTIVE IMAGING

Nicolas Lermé, Télécom ParisTech, France; François Malgouyres, IMT, Université Paul Sabatier, France; Emmanuelle Thouin, ONERA, Université Paul Sabatier, France; Dominique Hamoir, ONERA – The French Aerospace Lab, France

TEC-P3.2—GLOBAL SCHEME FOR ITERATIVE MOJETTE RECONSTRUCTIONS

Benoit Recur, Australian National University & Applied Math., RSPE, Australia; Henri Der Sarkissian, University of Nantes & Keosys Company, France; Myriam Servières, LUNAM Université, France

TEC-P3.3—TOPOLOGICAL GRADIENT FOR A FOURTH ORDER PDE AND APPLICATION TO THE DETECTION OF FINE STRUCTURES IN 2D AND 3D IMAGES

Audric Drogoul, Université de Nice Sophia Antipolis, France; Gilles Aubert, Nice University, France; Didier Auroux, CNRS Laboratoire Jean-Alexandre Dieudonné, France

TEC-P3.4—A GRADIENT-LIKE VARIATIONAL BAYESIAN APPROACH: APPLICATION TO MICROWAVE IMAGING FOR BREAST TUMOR DETECTION

Leila Gharsalli, Laboratoire des Signaux et Systemes & UMR8506-CNRS-SUPELEC-Univ Paris Sud, France; Bernard Duchêne, Laboratoire des Signaux et Systèmes/Supèlec/CNRS, France; Ali Mohammad-Djafari, Centre National de la Recherche Scientifique (CNRS), France; Hacheme Ayasso, GIPSA-LAB, France

TEC-P3.5—A NONCONVEX REGULARIZED APPROACH FOR PHASE RETRIEVAL

Audrey Repetti, Emilie Chouzenoux, Université Paris-Est Marne-la-Vallée, France; Jean-Christophe Pesquet, Université Paris-Est, France

TEC-P3.6—PERFORMANCE COMPARISON OF ITERATIVE REWEIGHTING METHODS FOR TOTAL VARIATION REGULARIZATION

Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA

TEC-P3.7—TOMOGRAPHIC RECONSTRUCTION OF FLOWING GASES USING SPARSE TRAINING

Zeeshan Nadir, Purdue University, USA; Michael Brown, Airforce Research Laboratory, Dayton, OH, USA; Mary Comer, Charles Bouman, Purdue University, USA

TEC-P3.8—MOTION-BASED PROJECTION GENERATION FOR 4D-CT RECONSTRUCTION

Salam Dhou, Geoffrey Hugo, Alen Docef, Virginia Commonwealth University, USA

TEC-P3.9—ANGULAR DIFFERENCE MEASURE BETWEEN TOMOGRAPHIC PROJECTIONS TAKEN AT UNKNOWN DIRECTIONS IN 2D

Minh-Son Phan, University of Strasbourg & CNRS Icube, France; Étienne Baudrier, Loïc Mazo, Mohamed Tajine, University of Strasbourg, France

TEC-P3.10—BINARY TOMOGRAPHY RECONSTRUCTIONS OF BONE MICROSTRUCTURE FROM FEW PROJECTIONS WITH STOCHASTIC LEVEL-SET METHODS

Lin Wang, Bruno Sixou, Francoise Peyrin, INSA Lyon, France

TEC-P3.11—ULTRASOUND IMAGE RECONSTRUCTION USING THE FINITE-RATE-OF-INNOVATION PRINCIPLE

Satish Mulleti, Sudarshan Nagesh, Indian Institute of Science, India; Rajesh Langoju, Abhijit Patil, General Electric, India; Chandra Sekhar Seelamantula, Indian Institute of Science, India

TEC-P3.12—COMBINING INTERIOR TOMOGRAPHY RECONSTRUCTION AND SPATIAL REGULARIZATION

Lilian Chaves Brandão dos Santos, Université Paris Est, France; Emmanuelle Gouillart, Saint Gobain Recherche, France; Hugues Talbot, Université Paris-Est, France

TEC-P3.13—FAST ITERATIVELY REWEIGHTED LEAST SQUARES FOR LP REGULARIZED IMAGE DECONVOLUTION AND RECONSTRUCTION

Xu Zhou, Beihang University, P.R. China; Rafael Molina, Universidad de Granada, Spain; Fugen Zhou, Beihang University, P.R. China; Aggelos K. Katsaggelos, Northwestern University, USA

TEC-P3.14—HIGH BIT-PRECISION IMAGE ACQUISITION AND RECONSTRUCTION BY PLANNED SENSOR DISTORTION

Pengfei Wan, Oscar Au, Jiahao Pang, Ketan Tang, Rui Ma, Hong Kong University of Science and Technology, Hong Kong

TEC-P3.15—HIGH-PERFORMANCE 3D DECONVOLUTION OF FLUORESCENCE MICROGRAPHS

Sander Kromwijk, Stamatios Lefkimmiatis, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland

TEC-P3.16—A FAST METHOD FOR RECONSTRUCTION OF TOTAL-VARIATION MR IMAGES WITH A PERIODIC BOUNDARY CONDITION

Yonggui Zhu, Commun. Univiversity of China, P.R. China; Yuying Shi, North China Electric Power University, P.R. China

TEC-P3.17—ROBUST PHASE UNWRAPPING BY CONVEX OPTIMIZATION

Adriana Gonzalez Gonzalez, Université Catholique de Louvain, Belgium; Laurent Jacques, University of Louvain, Belgium

TEC-P3.18—DICTIONARY LEARNING FOR SPARSITY-DRIVEN SAR IMAGE RECONSTRUCTION

Abdurrahim So?anl?, Müjdat Çetin, Sabanc? University, Turkey

TEC-P3.19—QUANTIFICATION OF COMPUTED TOMOGRAPHY PORK CARCASS IMAGES

Anton Bardera, University of Girona, Spain; Imma Boada, Universitat de Girona, Spain; Albert Brun, Maria Font-i-Furnols, Marina Gispert, IRTA, Spain

TEC-P3.20—SENSOR NOISE MEASUREMENT IN THE PRESENCE OF A FLICKERING ILLUMINATION

Frederic Sur, Université de Lorraine & LORIA – CNRS – INRIA Lorraine, France; Michel Grediac, Université Blaise Pascal, France

TEC-P3.21—THE MAXIMUM SPACING NOISE ESTIMATION IN SINGLE-COIL BACKGROUND MRI DATA

Tomasz Pieciak, AGH University of Science and Technology, Poland

TEC-P4: Interpolation and Mosaicing

TEC-P4.1—ALIGNMENT-FREE EXPOSURE FUSION OF IMAGE PAIRS

Wei-Rong Sie, Taiwan Semiconductor Manufacturing Company, Ltd., Taiwan; Chiou-Ting Hsu, National Tsing Hua University, Taiwan

TEC-P4.2—COLOR FRINGE CORRECTION BASED ON IMAGE FUSION

Dong-Won Jang, Hyo-Song Kim, Chang-Dae Jung, Rae-Hong Park, Sogang University, Korea

TEC-P4.3—PHOTOMETRIC ALIGNMENT FOR SURROUND VIEW CAMERA SYSTEM

Yucheng Liu, Purdue University, USA; Buyue Zhang, Texas Instruments Inc., USA

TEC-P4.4—A MULTILAYER NEURAL NETWORK FOR IMAGE DEMOSAICKING

Yi-Qing Wang, Ecole Normale Supérieure de Cachan, France

TEC-P4.5—EXAMPLE BASED DEMOSAICING

Gilad Michael, Nahum Kiryati, Tel Aviv University, Israel

TEC-P4.6—IMAGE DEMOSAICING BY USING ITERATIVE RESIDUAL INTERPOLATION

Wei Ye, Kai-Kuang Ma, Nanyang Technological University, Singapore

TEC-P4.7—EXPLOITATION OF INTER-COLOR CORRELATION FOR COLOR IMAGE DEMOSAICKING

Sunil Jaiswal, Oscar Au, Vinit Jakhetiya, Yuan Yuan, Haiyan Yang, Hong Kong University of Science and Technology, Hong Kong

TEC-P4.8—GRADIENT GUIDED IMAGE INTERPOLATION

Guangmei Jing, Yi-King Choi, The University of Hong Kong, Hong Kong; Jiaye Wang, Shandong University of Finance and Economics, P.R. China; Wenping Wang, The University of Hong Kong, Hong Kong

TEC-P4.9—MPCA: EM-BASED PCA FOR MIXED-SIZE IMAGE DATASETS

Feiyu Shi, Menghua Zhai, Drew Duncan, Nathan Jacobs, University of Kentucky, USA

TEC-P4.10—MODIFIED SOFT-DECISION ADAPTIVE INTERPOLATION BY AN EVOLUTIONARY GAME

Pei-Chi Hsiao, Ding-Jie Chen, Long-Wen Chang, National Tsing Hua University, Taiwan

TEC-P4.11—2D SEMI-SUPERVISED CCA-BASED INPAINTING INCLUDING NEW PRIORITY ESTIMATION

Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

TEC-P4.12—GENERAL SCALE INTERPOLATION BASED ON FINE-GRAINED ISOPHOTE MODEL WITH CONSISTENCY CONSTRAINT

Wenhan Yang, Jiaying Liu, Mading Li, Zongming Guo, Peking University, P.R. China

TEC-P4.13—IMAGE INTERPOLATION FROM MANHATTAN CUTSET SAMPLES VIA ORTHOGONAL GRADIENT METHOD

Matthew Prelee, David Neuhoff, University of Michigan, USA

TEC-P4.14—RECONSTRUCTION OF TEXTURELESS REGIONS USING STRUCTURE FROM MOTION AND IMAGE-BASED INTERPOLATION

Philip Saponaro, Scott Sorensen, Stephen Rhein, University of Delaware, USA; Andrew Mahoney, University of Alaska Fairbanks, USA; Chandra Kambhamettu, University of Delaware, USA

TEC-P4.15—DIRECTIONAL INTRA FRAME INTERPOLATION FOR HEVC COMPRESSED VIDEO

Xinwei Gao, Xiaopeng Fan, Min Gao, Debin Zhao, Harbin Institute of Technology, P.R. China

TEC-P4.16—LUMINANCE DRIVEN SPARSE REPRESENTATION BASED DEMOSAICKING

Mattia Rossi, Giancarlo Calvagno, University of Padova, Italy

TEC-P4.17—DISPARITY-GUIDED DEMOSAICKING OF LIGHT FIELD IMAGES

Mozhdeh Seifi, Neus Sabater, Technicolor Research & Innovation, France; Valter Drazic, Patrick Perez, Technicolor, France

Wednesday, October 29

ARS-L6: Image Retrieval

10:30  ARS-L6.1—DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL

Romain Negrel, David Picard, Philippe Gosselin, University of Cergy-Pontoise, France

10:50  ARS-L6.2—DIVERSITY-DRIVEN LEARNING FOR MULTIMODAL IMAGE RETRIEVAL WITH RELEVANCE FEEDBACK

Rodrigo Calumby, University of Feira de Santana, Brazil; Ricardo Torres, Institute of Computing, State University of Campinas, Brazil; Marcos Gonçalves, UFMG, Brazil

11:10  ARS-L6.3—SHAPE-BASED OBJECT RETRIEVAL BY CONTOUR SEGMENT MATCHING

Cong Yang, Oliver Tiebe, Pit Pietsch, Christian Feinen, Udo Kelter, Marcin Grzegorzek, University of Siegen, Germany

11:30  ARS-L6.4—CASCADED SPARSE COLOR-LOCALIZED MATCHING FOR LOGO RETRIEVAL

Rohit Pandey, University at Buffalo, USA; Wei Di, Vignesh Jagadeesh, Robinson Piramuthu, Anurag Bhardwaj, eBay Research Labs, USA

11:50  ARS-L6.5—EFFICIENT BINARY CODES FOR EXTREMELY HIGH-DIMENSIONAL DATA

Tsung-Yu Lin, Tyng-Luh Liu, Academia Sinica, Taiwan

12:10  ARS-L6.6—COMPONENT HASHING OF VARIABLE-LENGTH BINARY AGGREGATED DESCRIPTORS FOR FAST IMAGE SEARCH

Zhe Wang, Lingyu Duan, Jie Lin, Tiejun Huang, Wen Gao, Peking University, P.R. China; Miroslaw Bober, University of Surrey, United Kingdom

ELI-L2: 3D Modeling and Synthesis

10:30  ELI-L2.1—MULTIDIMENSIONAL STEERABLE FILTERS AND 3D FLOW ESTIMATION

Dimitrios Alexiadis, Nikolaos Mitianoudis, Democritus University of Thrace, Greece; Tania Stathaki, Imperial College London, United Kingdom

10:50  ELI-L2.2—DEPTH EXTRACTION FROM A SINGLE IMAGE BY SAMPLING BASED ON DISTANCE METRIC LEARNING

Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai, Beijing University of Posts and Telecommunications, P.R. China

11:10  ELI-L2.3—LEARNING 3D STRUCTURE FROM 2D IMAGES USING LBP FEATURES

José Herrera, Carlos del-Blanco, Narciso García, Universidad Politécnica de Madrid, Spain

11:30  ELI-L2.4—STREET VIEW CROSS-SOURCED POINT CLOUD MATCHING AND REGISTRATION

Furong Peng, Nanjing University of Science and Technology, P.R. China; Qiang Wu, University of Technology, Sydney, Australia; Lixin Fan, Nokia Research Center, Finland; Jian Zhang, University of Technology, Sydney, USA; Yu You, Nokia Research Center, Finland; Jianfeng Lu, Jin-Yu Yang, Nanjing University of Science and Technology, P.R. China

11:50  ELI-L2.5—SEAMLESS TEXTURE STITCHING ON A 3D MESH BY POISSON BLENDING IN PATCHES

Arnaud Dessein, William Smith, Richard Wilson, Edwin Hancock, University of York, United Kingdom

12:10  ELI-L2.6—3D VISUAL PRONUNCIATION OF MANDARIN CHINESE FOR LANGUAGE LEARNING

Jun Yu, University of Science and Technology of China, P.R. China; Aijun Li, Institute of Linguistics, Chinese Academy of Social Sciences, P.R. China

GRA-L1: Graph-Based Image Processing

10:30  GRA-L1.1—GRAPH SIGNAL DECOMPOSITION FOR MULTI-SCALE DETAIL MANIPULATION

Moncef Hidane, University of Bordeaux, France; Olivier Lezoray, Abderrahim Elmoataz, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France

10:50  GRA-L1.2—TRILATERAL FILTER ON GRAPH SPECTRAL DOMAIN

Masaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

11:10  GRA-L1.3—A COMPLEX NETWORK BASED FEATURE EXTRACTION FOR IMAGE RETRIEVAL

Jieqi Kang, Shan Lu, Weibo Gong, Patrick Kelly, University of Massachusetts, Amherst, USA

11:30  GRA-L1.4—GRAPH-BASED JOINT DENOISING AND SUPER-RESOLUTION OF GENERALIZED PIECEWISE SMOOTH IMAGES

Wei Hu, Hong Kong University of Science and Technology, Hong Kong; Gene Cheung, National Institute of Informatics, Japan; Xin Li, West Virginia University, USA; Oscar Au, Hong Kong University of Science and Technology, Hong Kong

11:50  GRA-L1.5—GRAPH-BASED APPROACH FOR MOTION CAPTURE DATA REPRESENTATION AND ANALYSIS

Jiun-Yu Kao, Antonio Ortega, Shrikanth Narayanan, University of Southern California, USA

12:10  GRA-L1.6—POINT CLOUD ATTRIBUTE COMPRESSION WITH GRAPH TRANSFORM

Cha Zhang, Dinei Florencio, Charles Loop, Microsoft Research, USA

TEC-L4: Super-Resolution

10:30  TEC-L4.1—SINGLE IMAGE SUPER-RESOLUTION VIA SPARSE KPCA AND REGRESSION

Tingrong Yuan, Wenming Yang, Fei Zhou, Qingmin Liao, Tsinghua University, P.R. China

10:50  TEC-L4.2—ROBUST SINGLE-IMAGE SUPER-RESOLUTION USING CROSS-SCALE SELF-SIMILARITY

Jordi Salvador, Technicolor, Germany; Eduardo Pérez-Pellitero, Technicolor & Leibniz University Hannover, Germany; Axel Kochale, Technicolor, Germany

11:10  TEC-L4.3—EXAMPLE-BASED SUPER-RESOLUTION USING SELF-PATCHES AND APPROXIMATED CONSTRAINED LEAST SQUARES FILTER

ChangHun Cho, Jaehwan Jeon, Joonki Paik, Chung-Ang University, Korea

11:30  TEC-L4.4—SUPER-RESOLUTION FROM A LOW- AND PARTIAL HIGH- RESOLUTION IMAGE PAIR

Moncef Hidane, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, University of Bordeaux, France

11:50  TEC-L4.5—JOINT VIDEO FUSION AND SUPER RESOLUTION BASED ON MARKOV RANDOM FIELDS

Jin Chen, Jose Nunez-Yanez, Alin Achim, University of Bristol, United Kingdom

12:10  TEC-L4.6—SUPER-RESOLUTION HYPERSPECTRAL IMAGING WITH UNKONWN BLURRING BY LOW-RANK AND GROUP-SPARSE MODELING

Huijuan Huang, Tsinghua University, P.R. China; Anthony Christodoulou, University of Illinois at Urbana-Champaign, USA; Weidong Sun, Tsinghua University, P.R. China

SS12: Electron-Microscopy Image Processing Problems and Applications in Biology: From Structure to Dynamics

Session Chairs: Slavica Jonic, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD; C. Sanchez-Sorzano, Centro Nacional Biotecnología

10:30  SS12.1—NEW ADVANCES IN IMAGING POLYMERS AT NEAR-ATOMIC RESOLUTION

Edward Egelman, University of Virginia, USA

10:50  SS12.2—ELASTIC IMAGE REGISTRATION TO FULLY EXPLORE MACROMOLECULAR DYNAMICS BY ELECTRON MICROSCOPY

Qiyu Jin, Shanghai Jiao Tong University, P.R. China; C. Sanchez-Sorzano, Centro Nacional Biotecnología, Spain; Isabelle Callebaut, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD, France; Florence Tama, RIKEN, Advanced Institute for Computational Sciences, Japan; Slavica Jonic, IMPMC, Sorbonne Universités, CNRS-UPMC-MNHN-IRD, France

11:10  SS12.3—CONDITIONAL RANDOM FIELDS FOR TUBULIN-MICROTUBULE SEGMENTATION IN CRYO-ELECTRON TOMOGRAPHY

Charles Kervrann, Sophie Blestel, INRIA, France; Denis Chretien, CNRS UMR 6290 IGDR, France

11:30  SS12.4—AUTOMATED DETECTION OF POLYSOMES IN CRYOELECTRON TOMOGRAPHY

Luis Kuhn Cuellar, Stefan Pfeffer, Max Planck Institute of Biochemistry, Germany; Yuxiang Chen, Max Planck Institute of Biochemistry & Technical University Munich, Germany; Friedrich Förster, Max Planck Institute of Biochemistry, Germany

11:50  SS12.5—AB INITIO CRYO-EM STRUCTURE DETERMINATION AS A VALIDATION PROBLEM

Pawel Penczek, The University of Texas, USA; Francisco Asturias, The Scripps Research Institute, USA

12:10  SS12.6—AN IMAGE PROCESSING APPROACH TO THE SIMULATION OF ELECTRON MICROSCOPY VOLUMES OF ATOMIC STRUCTURES

C. Sanchez-Sorzano, Javier Vargas, Joaquin Oton, Vahid Abrishami, Jose Miguel de la Rosa Trevín, National Center of Biotechnology, Spain; Sandra del Riego, Alejandro Fernández-Alderete, Carlos Martínez-Rey, Universidad San Pablo CEU, Spain; Roberto Marabini, Universidad Autonoma de Madrid, Spain; Jose Maria Carazo, National Center of Biotechnology, Spain

SS17: Efficient Design of HEVC Video-Codec Implementations

Session Chair: Vivienne Sze, Massachusetts Institute of Technology

10:30  SS17.1—ENERGY AND AREA-EFFICIENT HARDWARE IMPLEMENTATION OF HEVC INVERSE TRANSFORM AND DEQUANTIZATION

Mehul Tikekar, Massachusetts Institute of Technology, USA; Huang Chao-Tsung, National Tsing Hua University, Taiwan; Vivienne Sze, Anantha Chandrakasan, Massachusetts Institute of Technology, USA

10:50  SS17.2—HIGH-THROUGHPUT AND LOW-COST HARDWARE-ORIENTED INTEGER TRANSFORMS FOR HEVC

Trang Do, Yih Han Tan, Chuohao Yeo, Institute for Infocomm Research, Singapore

11:10  SS17.3—A 2014 MBIN/S DEEPLY PIPELINED CABAC DECODER FOR HEVC

Yu-Hsin Chen, Vivienne Sze, Massachusetts Institute of Technology, USA

11:30  SS17.4—EXPLORING MPEG HEVC DECODER PARALLELISM FOR THE EFFICIENT PORTING ONTO MANY-CORE PLATFORMS

Damien de Saint Jorre, Claudio Alberti, Marco Mattavelli, Simone Casale Brunet, Ecole Polytechnique Fédérale de Lausanne, Switzerland

11:50  SS17.5—REDUCING POWER CONSUMPTION OF HEVC CODEC WITH LOSSLESS REFERENCE FRAME RECOMPRESSION

Dajiang Zhou, Li Guo, Jinjia Zhou, Satoshi Goto, Waseda University, Japan

12:10  SS17.6—REAL TIME SHVC DECODER: IMPLEMENTATION AND COMPLEXITY ANALYSIS

Wassim Hamidouche, Mickael Raulet, Olivier Deforges, IETR-INSA Rennes, France

ARS-P8: Video Surveillance

ARS-P8.1—A SIMILARITY MEASURE FOR ANALYZING HUMAN ACTIVITIES USING HUMAN-OBJECT INTERACTION CONTEXT

Mohsen Amiri, University of British Columbia, Canada; Mahsa T. Pourazad, TELUS Communications Company, Canada; Panos Nasiopoulos, Victor Leung, University of British Columbia, Canada

ARS-P8.2—A CLUSTER SPECIFIC LATENT DIRICHLET ALLOCATION MODEL FOR TRAJECTORY CLUSTERING IN CROWDED VIDEOS

Jialing Zou, Yanting Cui, F. Wan, Qixiang Ye, Jianbin Jiao, University of Chinese Academy of Sciences, P.R. China

ARS-P8.3—WEAKLY SUPERVISED CROSS-VIEW ACTION RECOGNITION VIA SEQUENTIAL MOTION ACCUMULATION

Yi Liu, University of Chinese Academy of Sciences, P.R. China; Lei Qin, Chinese Academy of Sciences, P.R. China; Zhongwei Cheng, University of Chinese Academy of Sciences, P.R. China; Yanhao Zhang, Weigang Zhang, Harbin Institute of Technology, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China

ARS-P8.4—GAUSSIAN RINGLET INTENSITY DISTRIBUTION (GRID) FEATURES FOR ROTATION-INVARIANT OBJECT DETECTION IN WIDE AREA MOTION IMAGERY

Theus Aspiras, Vijayan Asari, University of Dayton, USA; Juan Vasquez, AFRL, USA

ARS-P8.5—MULTI-FEATURE STATIONARY FOREGROUND DETECTION FOR CROWDED VIDEO-SURVEILLANCE

Diego Ortego, Juan Carlos SanMiguel, Universidad Autonoma de Madrid, Spain

ARS-P8.6—SIMULTANEOUS SPARSITY MODEL FOR MULTI-PERSPECTIVE VIDEO ANOMALY DETECTION

Xuan Mo, Vishal Monga, Pennsylvania State University, USA; Raja Bala, Xerox Corporation, USA

ARS-P8.7—AN ONLINE LEARNED HOUGH FOREST MODEL FOR MULTI-TARGET TRACKING

Jun Xiang, Nong Sang, Huazhong University of Science and Technology, P.R. China; Jianhua Hou, South-Central University for Nationalities, P.R. China

ARS-P8.8—PEDESTRIAN DETECTION IN HIGHLY CROWDED SCENES USING “ONLINE” DICTIONARY LEARNING FOR OCCLUSION HANDLING

Bing Wang, Kap Chan, Wang Gang, Haijian Zhang, Nanyang Technological University, Singapore

ARS-P8.9—A SCENE-SPECIFIC DEFORMABLE PART-BASED MODEL FOR OBJECT DETECTION

Yinghua Zhang, Ling Cai, Luyan Chen, Yuming Zhao, Shanghai Jiao Tong University, P.R. China

ARS-P8.10—METRIC LEARNING WITH TRACE-NORM REGULARIZATION FOR PERSON RE-IDENTIFICATION

Bohuai Yao, Zhicheng Zhao, Kai Liu, Beijing University of Posts and Telecommunications, P.R. China

ARS-P8.11—WEAKLY SUPERVISED PEDESTRIAN DETECTOR TRAINING BY UNSUPERVISED PRIOR LEARNING AND CUE FUSION IN VIDEOS

Kyaw Kyaw Htike, David Hogg, University of Leeds, United Kingdom

ARS-P8.12—A FRAMEWORK FOR UNIQUE PEOPLE COUNT FROM MONOCULAR VIDEOS

Satarupa Mukherjee, Nilanjan Ray, University of Alberta, Canada

ARS-P8.13—A NOVEL SOLUTION FOR MULTI-CAMERA OBJECT TRACKING

Weihua Chen, Lijun Cao, Xiaotang Chen, Kaiqi Huang, Chinese Academy of Sciences, P.R. China

ARS-P8.14—SWARM-BASED MOTION FEATURES FOR ANOMALY DETECTION IN CROWDS

Vagia Kaltsa, Alexia Briassouli, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Michael Strintzis, Aristotle University of Thessaloniki, Greece

ARS-P8.15—SUPER-PIXEL BASED CROWD FLOW SEGMENTATION IN H.264 COMPRESSED VIDEOS

Sovan Biswas, Gnana Praveen, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India

ARS-P8.16—MULTI-SCALE ANALYSIS OF CONTEXTUAL INFORMATION WITHIN SPATIO-TEMPORAL VIDEO VOLUMES FOR ANOMALY DETECTION

Nannan Li, Huiwen Guo, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, P.R. China; Dan Xu, The Chinese University of Hong Kong, P.R. China; Xinyu Wu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, P.R. China

ARS-P8.17—BACKGROUND EXTRACTION FROM VIDEO SEQUENCES VIA MOTION-ASSISTED MATRIX COMPLETION

Jingyu Yang, Xin Sun, Xinchen Ye, Kun Li, Tianjin University, P.R. China

ARS-P8.18—COMPLEX EVENT RECOGNITION BY LATENT TEMPORAL MODELS OF CONCEPTS

Ehsan Zare Borzeshi, University of Technology, Sydney, Australia; Afshin Dehghan, University of Central Florida, USA; Massimo Piccardi, University of Technology, Sydney, Australia; Mubarak Shah, University of Central Florida, USA

ARS-P8.19—PEDESTRIAN COUNTING BASED ON SPATIAL AND TEMPORAL ANALYSIS

Zhongjie Yu, Chen Gong, Jie Yang, Shanghai Jiao Tong University, P.R. China; Li Bai, Nottingham University, United Kingdom

ARS-P8.20—STATIC REGION CLASSIFICATION USING HIERARCHICAL FINITE STATE MACHINE

Jiman Kim, Daijin Kim, Pohang University of Science and Technology, Korea

ARS-P8.21—PERIMETER-INTRUSION EVENT CLASSIFICATION FOR ON-LINE DETECTION USING MULTIPLE INSTANCE LEARNING SOLVING TEMPORAL AMBIGUITIES

Julien Vijverberg, Eindhoven University of Technology & VDG Security BV, The Netherlands; Roel Janssen, Remco de Zwart, Siqura B. V., The Netherlands; Peter de With, Eindhoven University of Technology, The Netherlands

ARS-P8.22—“CLUSTERING BY SALIENCY”—UNSUPERVISED DISCOVERY OF CROWD ACTIVITIES

Tingting Han, Hongxun Yao, Xiaoshuai Sun, Yanhao Zhang, Harbin Institute of Technology, P.R. China

ARS-P8.23—EXPLOITING LOW-RANK STRUCTURES FROM CROSS-CAMERA IMAGES FOR ROBUST PERSON RE-IDENTIFICATION

Ming-Hang Fu, Yu-Chiang Wang, Chu-Song Chen, Academia Sinica, Taiwan

ARS-P8.24—FIRST-PERSON MULTIPLE OBJECT TRACKING IN COMPLEX TRAFFIC SCENES

Tingting Jiang, Zhao Zhang, Yuansheng Xu, Yichong Bai, Yizhou Wang, Peking University, P.R. China

ARS-P8.25—PERSON RE-IDENTIFICATION BY FREE ENERGY SCORE SPACE ENCODING

Yanna Zhao, Shandong University, P.R. China; Xu Zhao, Yuncai Liu, Shanghai Jiao Tong University, P.R. China

ARS-P8.26—A PERSON RE-IDENTIFICATION ALGORITHM BASED ON COLOR TOPOLOGY

Guodong Zeng, Hai-Miao Hu, Yanbing Geng, Chi Zhang, Beihang University, P.R. China

ARS-P8.27—FOUNDATIONAL METADATA FOR IMAGE BASED COGNITION

Gary Viviani, Insitu (A Boeing Company), USA; Ed Delp, Purdue University, USA

ARS-P8.28—PEDESTRIAN DETECTION FROM SALIENT REGIONS

Xiao Wang, Jun Chen, Wenhua Fang, Chao Liang, Wuhan University, P.R. China; Chunjie Zhang, University of Chinese Academy of Sciences, P.R. China; Ruimin Hu, Wuhan University, P.R. China

ARS-P8.29—PEDESTRIAN DETECTION USING MIXED PARTIAL DERIVATIVE BASED HISTOGRAM OF ORIENTED GRADIENTS

Ali Mahmoud, Ahmed EL-Barkouky, James Graham, Aly Farag, University of Louisville, USA

ARS-P8.30—MOVING TARGETS DETECTION FROM UAV BASED ON A ROBUST REAL-TIME IMAGE REGISTRATION ALGORITHM

Mathieu Pouzet, University of Versailles Saint Quentin & Effidence, France; Patrick Bonnin, University of Versailles, France; Jean Laneurit, Cedric Tessier, Effidence, France

COM-P1: Multimedia Communication

COM-P1.1—PERCEPTUAL PRE-PROCESSING FILTER FOR ADAPTIVE VIDEO ON DEMAND CONTENT DELIVERY

Rahul Vanam, Louis Kerofsky, Yuriy Reznik, InterDigital, USA

COM-P1.2—AN ERROR-BASED RECURSIVE FILLING ORDERING FOR IMAGE ERROR CONCEALMENT

Jan Koloda, University of Granada, Spain; Jürgen Seiler, Andre Kaup, University of Erlangen-Nuremberg, Germany; Victoria Sanchez, Antonio Peinado, University of Granada, Spain

COM-P1.3—ROBUST AND EFFICIENT SAR IMAGE CODING TRANSMISSION

Xingsong Hou, Wenwen Tian, Xi’an Jiaotong University, P.R. China; Chen Gong, University of Science and Technology of China, P.R. China

COM-P1.4—JOINT SOURCE AND CHANNEL CODING OF VIEW AND RATE SCALABLE MULTI-VIEW VIDEO

Jacob Chakareski, University of Alabama, USA; Vladan Velisavljevi?, University of Bedfordshire, United Kingdom; Vladimir Stankovic, University of Strathclyde, United Kingdom

COM-P1.5—ADAPTIVE 3D MULTI-VIEW VIDEO STREAMING OVER P2P NETWORKS

Cagri Ozcinar, Erhan Ekmekcioglu, University of Surrey, United Kingdom; Ahmet Kondoz, Loughborough University, United Kingdom

COM-P1.6—ADAPTIVE VIDEO TRANSMISSION WITH SUBJECTIVE QUALITY CONSTRAINTS

Chao Chen, University of Texas at Austin, USA; Xiaoqing Zhu, Cisco Systems, USA; Gustavo de Veciana, Alan Bovik, Robert Heath, University of Texas at Austin, USA

COM-P1.7—PROXIMATE CONTROL STREAM ASSISTED VIDEO TRANSCODING FOR HETEROGENEOUS CONTENT DELIVERY NETWORK

Xuebin Zhang, Rensselaer Polytechnic Institute, USA; Yiran Li, Qualcomm, USA; Jiangpeng Li, Shanghai Jiao Tong University, P.R. China; Kai Zhao, Tong Zhang, Rensselaer Polytechnic Institute, USA

COM-P1.8—CAMERA VIEWPOINT CHANGE DETECTION FOR INTERACTION ANALYSIS IN TV SHOWS

Bo Zhang, Nicola Conci, Francesco De Natale, University of Trento, Italy

COM-P1.9—ENHANCED SPATIO-TEMPORAL VIDEO COPY DETECTION BY COMBINING TRAJECTORY AND SPATIAL CONSISTENCY

Savas Ozkan, Ersin Esen, TUBITAK UZAY, Turkey; Gozde Akar, Middle East Technical University, Turkey

COM-P1.10—SHOULD WE DISCARD SPARSE OR INCOMPLETE VIDEOS?

Chuan Sun, Hassan Foroosh, University of Central Florida, USA

COM-P1.11—FAST QUADTREE LEVEL DECISION ALGORITHM FOR H.264/HEVC TRANSCODER

Antonio Jesús Díaz Honrubia, Jose Luis Martinez, José Puerta, Jose Gamez, University of Castilla-La Mancha, Spain; Jan De Cock, Ghent University – iMinds, Belgium; Pedro Cuenca, University of Castilla-La Mancha, Spain

COM-P1.12—HIGH QUALITY IMAGE RECONSTRUCTION VIA NON-LOCAL COLLABORATIVE ESTIMATION FOR WIRELESS IMAGE/VIDEO SOFTCAST

Ruiqin Xiong, Jian Zhang, Peking University, P.R. China; Feng Wu, Microsoft Research Asia, P.R. China; Wen Gao, Peking University, P.R. China

COM-P1.13—EFFICIENT TRANSCODING FOR SPATIALLY MISALIGNED COMPOSITIONS FOR HEVC

Johan De Praeter, Jan De Cock, Glenn Van Wallendael, Sebastiaan Van Leuven, Peter Lambert, Rik Van de Walle, Ghent University – iMinds, Belgium

COM-P1.14—A FAST HEVC TRANSCODER BASED ON CONTENT MODELING AND EARLY TERMINATION

Eduardo Peixoto, Bruno Macchiavello, Edson Hung, Ricardo de Queiroz, University of Brasil, Brazil

COM-P1.15—FAST MOTION ESTIMATION FOR CLOSED-LOOP HEVC TRANSRATING

Luong Pham Van, Jan De Cock, Ghent University – iMinds, Belgium; Antonio Jesús Díaz Honrubia, University of Castilla-La Mancha, Spain; Glenn Van Wallendael, Sebastiaan Van Leuven, Rik Van de Walle, Ghent University – iMinds, Belgium

COM-P1.16—COMBINING COMPUTER VISION AND VIDEO PROCESSING TO ACHIEVE IMMERSIVE MOBILE VIDEOCONFERENCING

Jorge Caviedes, Sin Lin Wu, Intel Corporation, USA

COM-P1.17—JUMPING PHOTOS

Cecilia Garcia, Jean-Charles Bazin, Marcel Lancelle, Markus Gross, ETH Zurich, Switzerland

COM-P1.18—A STEREO CLIENT USING OPEN SVC DECODER EXTENSIONS: QOE PERFORMANCE EVALUATION

George Papadogiannopoulos, Tasos Dagiuklas, Ilias Politis, Hellenic Open University & University of Patras, Greece; Asimakis Lykourgiotis, University of Patras, Greece

COM-P1.19—A 3D MAP AUGMENTED PHOTO GALLERY APPLICATION ON MOBILE DEVICE

Junsheng Fu, Nokia Research Center, Tampere University of Technology, Finland; Lixin Fan, Kimmo Roimela, Yu You, Ville Mattila, Nokia Research Center, Finland

COM-P1.20—SELECTIVE MOTION VECTOR REDUNDANCIES FOR IMPROVED ERROR RESILIENCE IN HEVC

Joao Carreira, University of Surrey & Polytechnic Institute of Leiria, Portugal; Erhan Ekmekcioglu, Ahmet Kondoz, University of Surrey, United Kingdom; Pedro Assuncao, Sérgio Faria, Polytechnic Institute of Leiria, Portugal; Varuna De Silva, Apical Ltd, United Kingdom

ELI-P3: Image Scanning and Printing

ELI-P3.1—SHARPNESS-AWARE DOCUMENT IMAGE MOSAICING USING GRAPHCUTS

Sungmin Eum, University of Maryland College Park, USA; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA

ELI-P3.2—COLOR FEATURES FOR DATING HISTORICAL COLOR IMAGES

Basura Fernando, Katholieke Universiteit Leuven, Belgium; Damien Muselet, Université Jean Monnet, France; Rahat Khan, University of Auvergne, France; Tinne Tuytelaars, Katholieke Universiteit Leuven, Belgium

ELI-P3.3—USING PYRAMID OF HISTOGRAM OF ORIENTED GRADIENTS ON NATURAL SCENE TEXT RECOGNITION

Zhi Rong Tan, Shangxuan Tian, Chew Lim Tan, National University of Singapore, Singapore

ELI-P3.4—A NOVEL APPROACH FOR COLOR BARCODE DECODING USING SMART PHONES

Homayoun Bagherinia, Roberto Manduchi, University of California Santa Cruz, USA

ELI-P3.5—HANDWRITTEN WORD SPOTTING BASED ON A HYBRID OPTIMAL DISTANCE

Peng Wang, University Jean Monnet Saint Etienne, France; Veronique Eglin, INSA-Lyon, France; Christine Largeron, University Jean Monnet Saint Etienne, LAHC, France; Christophe Garcia, INSA-Lyon, France

ELI-P3.6—CONTEXT-DEPENDENT BLSTM MODELS. APPLICATION TO OFFLINE HANDWRITING RECOGNITION

Youssouf Chherawala, Partha Roy, Mohamed Cheriet, Ecole de Technologie Supérieure, Canada

ELI-P3.7—BAG OF FEATURES APPROACH FOR OFFLINE TEXT-INDEPENDENT CHINESE WRITER IDENTIFICATION

Yongjie Hu, Wenming Yang, Youbin Chen, Tsinghua University, P.R. China

ELI-P3.8—3D RECTIFICATION OF DISTORTED DOCUMENT IMAGE BASED ON TILED RECTANGLE FRAGMENTS

Masahiro Hirano, Yoshihiro Watanabe, Masatoshi Ishikawa, University of Tokyo, Japan

ELI-P3.9—IMAGE CHARACTER RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORK LEARNED FROM DIFFERENT LANGUAGES

Jinfeng Bai, Zhineng Chen, Bailan Feng, Bo Xu, Institute of Automation, Chinese Academy of Sciences, P.R. China

ELI-P3.10—THE ZONEMAP METRIC FOR PAGE SEGMENTATION AND AREA CLASSIFICATION IN SCANNED DOCUMENTS

Olivier Galibert, Juliette Kahn, Ilya Oparin, LNE, Laboratoire National de Métrologie et d’Essais, France

ELI-P3.11—A MORPHOLOGICAL METHOD FOR MUSIC SCORE STAFF REMOVAL

Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France

ELI-P3.12—LEARNING TO REMOVE STAFF LINES FROM MUSIC SCORE IMAGES

Igor Montagner, Roberto Hirata Jr., Nina Hirata, University of São Paulo, Brazil

ELI-P3.13—BINARY TEXT IMAGE FILE PREPROCESSING TO ACCOUNT FOR PRINTER DOT GAIN

Lu Zhang, Purdue University, USA; Alex Veix, Hewlett-Packard Scitex, Ltd., Israel; Robert Ulichney, Hewlett Packard, USA; Jan Allebach, Purdue University, USA

ELI-P3.14—A DEEP LEARNING APPROACH TO DOCUMENT IMAGE QUALITY ASSESSMENT

Le Kang, Peng Ye, University of Maryland, College Park, USA; Yi Li, National ICT Australia, Australia; David Doermann, University of Maryland Institute for Advanced Computer Studies, USA

ELI-P3.15—SEMANTICALLY-BASED 2.5D TEXTURE PRINTING

Jianyu Wang, Jan Allebach, Purdue University, USA; Maria Ortiz Segovia, OCE Print Logic Technologies, France

ELI-P3.16—ESTIMATING EMBEDDED DATA FROM CLUSTERED HALFTONE DOTS VIA LEARNED DICTIONARY

Chang-Hwan Son, Sungkyunkwan University, Korea

ELI-P3.17—AN IMPROVED ERROR DIFFUSION ALGORITHM BASED ON VISUAL DIFFERENCE

Xiaoguo Shi, Xueqing Li, Shandong University, P.R. China

ELI-P3.18—A PRECISE SKEW ESTIMATION ALGORITHM FOR DOCUMENT IMAGES USING KNN CLUSTERING AND FOURIER TRANSFORM

Jonathan Fabrizio, EPITA Research & Development Laboratory (LRDE), France

TEC-P5: Classification of Medical Images

TEC-P5.1—A COLOR TEXTURE ANALYSIS METHOD BASED ON A GRAVITATIONAL APPROACH FOR CLASSIFICATION OF THE PAP-SMEAR DATABASE

Jarbas Sá Junior, Federal University of Ceará, Brazil; André Backes, Federal University of Uberlândia, Brazil

TEC-P5.2—THE MS KINECT IMAGE AND DEPTH SENSORS USE FOR GAIT FEATURES DETECTION

Ales Prochazka, Martin Schatz, Ondrej Tupa, Mohammadreza Yadollahi, Institute of Chemical Technology in Prague, Czech Republic; Oldrich Vysata, Martin Valis, Charles University, Czech Republic

TEC-P5.3—A SEMANTIC FRAMEWORK FOR THE RETRIEVAL OF SIMILAR RADIOLOGICAL IMAGES BASED ON MEDICAL ANNOTATIONS

Camille Kurtz, University Paris Descartes & LIPADE Laboratory (EA 2517), France; Adrien Depeursinge, Christopher Beaulieu, Daniel Rubin, Stanford University, USA

TEC-P5.4—UPPER LIMB MOVEMENT ANALYSIS VIA MARKER TRACKING WITH A SINGLE-CAMERA SYSTEM

Cheng Yang, Andrew Kerr, Vladimir Stankovic, Lina Stankovic, Philip Rowe, University of Strathclyde, United Kingdom

TEC-P5.5—RETRIEVAL OF PATHOLOGY IMAGE FOR BREAST CANCER USING PLSA MODEL BASED ON TEXTURE AND PATHOLOGICAL FEATURES

Zheng Yushan, Zhiguo Jiang, Jun Shi, Ma Yibing, Beihang University, P.R. China

TEC-P5.6—PERFORMANCE ANALYSIS OF UNCONVENTIONAL DICTIONARY ON RETINAL IMAGES

Damber Thapa, University of Waterloo, Canada; Kaamran Raahemifar, Ryerson University, Canada; Vasudevan Lakshminarayanan, University of Waterloo, Canada

TEC-P5.7—SHAPE AND SIZE ADAPTED LOCAL FRACTAL DIMENSION FOR THE CLASSIFICATION OF POLYPS IN HD COLONOSCOPY

Andreas Uhl, Georg Wimmer, University of Salzburg, Austria; Michael Häfner, St. Elisabeth Hospital, Austria

TEC-P5.8—A TEXTURE-BASED PROBABILITY MAPPING FOR LOCALISATION OF CLINICALLY IMPORTANT CARDIAC SEGMENTS IN THE MYOCARDIUM IN CARDIAC MAGNETIC RESONANCE IMAGES FROM MYOCARDIAL INFARCTION PATIENTS

Trygve Eftestøl, Frode Måløy, Kjersti Engan, University of Stavanger, Norway; Lasya Kotu, SAAB, Norway; Leik Woie, Stein Ørn, Stavanger University Hospital, Norway

TEC-P5.9—CLASSIFICATION OF CARDIAC MAGNETIC RESONANCE IMAGE TYPE AND ORIENTATION

Mai Wael, Ahmed Fahmy, Nile University, Egypt

TEC-P5.10—A STATISTICAL FRAMEWORK FOR THE CLASSIFICATION OF INFANT DT IMAGES

Mahmoud Mostapha, University of Louisville, USA; Ahmed Soliman, University of Louisville & Mansoura University, USA; Fahmi Khalifa, Ahmed Elnakib, Amir Alansary, Matthew Nitzken, Manuel Casanova, Ayman El-Baz, University of Louisville, USA

TEC-P5.11—ULTRASOUND TISSUE CHARACTERIZATION BY GENERALIZED GAMMA MRF MODEL

Bouhlel Nizar, Univ Tunis El Manar & National Engineering School of Tunis, Tunisia; Pascal Laugier, Université Paris 6, France

TEC-P5.12—AUTOMATIC LESION DETECTION IN WIRELESS CAPSULE ENDOSCOPY – A SIMPLE SOLUTION FOR A COMPLEX PROBLEM

Dimitris Iakovidis, Technological Educational Institute of Central Greece, Greece; Anastasios Koulaouzidis, The Royal Infirmary of Edinburgh, Edinburgh, Greece

TEC-P5.13—COMPUTER-AIDED DIAGNOSTIC FOR PROSTATE CANCER DETECTION AND CHARACTERIZATION COMBINING LEARNED DICTIONARIES AND SUPERVISED CLASSIFICATION

Jerome Lehaire, Université de Lyon & CREATIS, France; Rémi Flamary, Université de Nice Sophia-Antipolis & Laboratoire Lagrange, UMR CNRS, France; Olivier Rouviere, Edouard Herriot Hospital, France; Carole Lartizien, Université de Lyon & CREATIS, France

TEC-P5.14—OPTIMAL SET OF FEATURES FOR ACCURATE SKIN CANCER DIAGNOSIS

Mutlu Mete, Nikolay Sirakov, TAMU-Commerce, USA

TEC-P5.15—ADABOOST WITH DUMMY-VARIABLE MODELING FOR REDUCTION OF FALSE POSITIVES IN DETECTION OF CLUSTERED MICROCALCIFICATIONS

Juan Wang, Yongyi Yang, Illinois Institute of Technology, USA

TEC-P5.16—SVM WITH FEATURE SELECTION AND SMOOTH PREDICTION IN IMAGES: APPLICATION TO CAD OF PROSTATE CANCER

Emilie Niaf, A*STAR-NUS Clinical Imaging Research Centre, Singapore; Rémi Flamary, Université de Nice Sophia-Antipolis & Laboratoire Lagrange, UMR CNRS, France; Alain Rakotomamonjy, Perception, Systemes et Information, Insa de Rouen, France; Olivier Rouviere, Edouard Herriot Hospital, France; Carole Lartizien, Université de Lyon & CREATIS, France

TEC-P5.17—A DEPTH-MAP APPROACH FOR AUTOMATIC MICE BEHAVIOR RECOGNITION

João Monteiro, Helder Oliveira, INESC TEC, Portugal; Paulo Aguiar, University of Porto, Portugal; Jaime Cardoso, INESC TEC & Universidade do Porto, Portugal

TEC-P5.18—WAVELET-BASED STATISTICAL FEATURES FOR DISTINGUISHING MITOTIC AND NON-MITOTIC CELLS IN BREAST CANCER HISTOPATHOLOGY

Tao Wan, Xu Liu, Beihang University, P.R. China; Jianhui Chen, No 91 Central Hospital of PLA, P.R. China; Zengchang Qin, Beihang University, P.R. China

TEC-P6: Denoising

TEC-P6.1—BLIND FULL REFERENCE QUALITY ASSESSMENT OF POISSON IMAGE DENOISING

Chen Zhang, Keigo Hirakawa, University of Dayton, USA

TEC-P6.2—ADAPTIVE REGULARIZATION OF THE NL-MEANS FOR VIDEO DENOISING

Camille Sutour, Jean Francois Aujol, Charles-Alban Deledalle, Jean-Philippe Domenger, Université de Bordeaux, France

TEC-P6.3—MOTION BLUR RESISTANT METHOD FOR TEMPORAL VIDEO DENOISING

Meisam Rakhshanfar, Aishy Amer, Concordia University, Canada

TEC-P6.4—IMAGE DENOISING USING CONTEXTUAL MODELING OF CURVELET COEFFICIENTS

Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Carole Amiot, Catherine Girard, Jeremie Pescatore, Thales, France; Jocelyn Chanussot, Grenoble Institute of Technology, France; Michel Desvignes, GRENOBLE-INP, France

TEC-P6.5—STRATEGIC IMAGE DENOISING USING A SUPPORT VECTOR MACHINE WITH SEAM ENERGY AND SALIENCY FEATURES

Laura McCrackin, Shahram Shirani, McMaster University, Canada

TEC-P6.6—ANISOTROPIC COLOR IMAGE DENOISING AND SHARPENING

Salim Bettahar, University of Sciences and Technology of Oran, Algeria; Patrick Lambert, University of Savoie, France; Amine Boudghene Stambouli, University of Sciences and Technology of Oran, Algeria

TEC-P6.7—NOISE BIAS COMPENSATION OF TONE MAPPED NOISY IMAGE

Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan

TEC-P6.8—NONLOCAL IMAGE DENOISING VIA COLLABORATIVE SPATIAL-DOMAIN LMMSE ESTIMATION

Bo Wang, Zixiang Xiong, Texas A&M University, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA

TEC-P6.9—SIGNAL DEPENDENT NOISE REMOVAL FROM A SINGLE IMAGE

Xinhao Liu, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan

TEC-P6.10—DENOISING BASED ON NON LOCAL MEANS FOR ULTRASOUND IMAGES WITH SIMULTANEOUS MULTIPLE NOISE DISTRIBUTIONS

Denis Salvadeo, São Paulo State University, Brazil; Isabelle Bloch, Florence Tupin, Télécom ParisTech, France; Nelson Mascarenhas, Alexandre Levada, Federal University of São Carlos, Brazil; Charles-Alban Deledalle, Université de Bordeaux, France; Sonia Dahdouh, Télécom ParisTech, France

TEC-P6.11—IMAGE NOISE LEVEL ESTIMATION BASED ON A NEW ADAPTIVE SUPERPIXEL CLASSIFICATION

Peng Fu, Nanjing University of Science and Technology & University of Sydney, P.R. China; Changyang Li, University of Sydney, Australia; Quansen Sun, Nanjing University of Science and Technology, P.R. China; Weidong Cai, University of Sydney, Australia; David Feng, University of Sydney & Hong Kong Polytechnic University, Australia

TEC-P6.12—HANDLING NOISE IN IMAGE DECONVOLUTION WITH LOCAL/NON-LOCAL PRIORS

Hicham Badri, Hussein Yahia, INRIA Bordeaux Sud-Ouest, France

TEC-P6.13—FAST LOG-GABOR-BASED NONLOCAL MEANS IMAGE DENOISING METHODS

Song Zhang, Huajiong Jing, Hangzhou Dianzi University, P.R. China

TEC-P6.14—THE NOISE CLINIC: A UNIVERSAL BLIND DENOISING ALGORITHM

Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Miguel Colom, Universitat de les Illes Balears, Spain; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

TEC-P6.15—DENOISING USING PROJECTIONS ONTO THE EPIGRAPH SET OF A CONVEX COST FUNCTION

Mohammad Tofighi, Bilkent University, Turkey; Kivanc Kose, Memorial Sloan Kettering Cancer Center, USA; A. Enis Cetin, Bilkent University, Turkey

TEC-P6.16—CAN A SINGLE IMAGE DENOISING NEURAL NETWORK HANDLE ALL LEVELS OF GAUSSIAN NOISE?

Yi-Qing Wang, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

TEC-P6.17—A NONLOCAL POISSON DENOISING ALGORITHM BASED ON STOCHASTIC DISTANCES

André Bindilatti, Nelson Mascarenhas, Federal University of São Carlos, Brazil

TEC-P6.18—REGULARISED, SEMI-LOCAL HURST ESTIMATION VIA GENERALISED LASSO AND DUAL-TREE COMPLEX WAVELETS

Corina Nafornita, Alexandru Isar, Politehnica University of Timisoara, Romania; James Nelson, University College London, United Kingdom

TEC-P6.19—FRACTIONAL CYCLE SPINNING VIA MODULATED LAPPED TRANSFORM FOR OVERCOMPLETE IMAGE REPRESENTATION

Seisuke Kyochi, The University of Kitakyushu, Japan; Masaaki Ikehara, Keio University, Japan

ST1.1—A SMARTPHONE APPLICATION FOR REMOVING HANDSHAKE BLUR AND COMPENSATING ROLLING SHUTTER

Ondrej Sindelar, Filip Šroubek, Institute of Information Theory and Automation, Czech Republic; Peyman Milanfar, University of California, Santa Cruz, USA

ST1.2—A PORTABLE REAL-TIME HIGH-DYNAMIC RANGE VIDEO SYSTEM

Salvador Garcia Bernal, Guoping Qiu, University of Nottingham, United Kingdom

ST1.3—REVERIE: NATURAL HUMAN INTERACTION IN VIRTUAL IMMERSIVE ENVIRONMENTS

Julie Wall, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom; Lemonia Argyriou, CTVC Ltd, United Kingdom; David Monaghan, Noel. E. O’Connor, Dublin City University, Ireland; Steven Poulakos, Aljosa Smolic, Disney Research Zurich, Switzerland; Rufael Mekuria, Centrum Wiskunde Informatica, The Netherlands

ST1.4—DUAL-VIEW MEDICAL IMAGE VISUALIZATION BASED ON SPATIAL-TEMPORAL PSYCHOVISUAL MODULATION

Zhongpai Gao, Guangtao Zhai, Chunjia Hu, Xiongkuo Min, Shanghai Jiao Tong University, P.R. China

ST1.5—HARMONY-GUIDED IMAGE EDITING

Christel Chamaret, Fabrice Urban, Technicolor, France; Lionel Oisel, Thomson, France

ST1.6—SNOW PHENOMENA MODELING THROUGH ONLINE PUBLIC MEDIA

Roman Fedorov, Piero Fraternali, Marco Tagliasacchi, Politecnico di Milano, Italy

ST1.7—INFORMATION OPTIMAL SCALABLE COMPRESSIVE IMAGER DEMONSTRATOR

Ronan Kerviche, Nan Zhu, Amit Ashok, University of Arizona, USA

ST1.8—INTERACTIVE DEMONSTRATIONS OF THE LOCALLY ADAPTIVE FUSION FOR COMBINING QUALITY MEASURES

Adriaan Barri, Ann Dooms, Peter Schelkens, Vrije Universiteit Brussel, Belgium

ST1.9—QUASAR – A NEW HETEROGENEOUS PROGRAMMING FRAMEWORK FOR IMAGE AND VIDEO PROCESSING ALGORITHMS ON CPU AND GPU

Bart Goossens, Jonas De Vylder, Wilfried Philips, Ghent University, Belgium

ST1.10—UNIFIED REAL TIME SOFTWARE DECODER FOR HEVC EXTENSIONS

Benoit Martin, Wassim Hamidouche, INSA de Rennes, France; Jean Le Feuvre, Télécom ParisTech, France; Mickael Raulet, INSA de Rennes, France

ST1.11—OPEN SOURCE HEVC ANALYZER FOR RAPID PROTOTYPING (HARP)

Dominic Springer, Wolfgang Schnurrer, Andreas Weinlich, Andreas Heindel, Jürgen Seiler, Andre Kaup, University of Erlangen-Nuremberg, Germany

ST2.1—LIGHTWEIGHT FORENSIC VIDEO WATERMARKING TO ENABLE PREMIUM CONTENT CONSUMPTION ON MOBILE DEVICES

Antoine Robert, Gwenaël Doërr, Technicolor R&D, France

ST2.2—SCALABLE, SELF-ORGANIZING 3D CAMERA NETWORK FOR NON-INTRUSIVE PEOPLE TRACKING AND COUNTING

Robert Hegner, University of Applied Sciences of Eastern Switzerland in Rapperswil, Switzerland; Andreas Hartmann, ADEC Technologies AG, Switzerland; Thomas Niederberger, Guido Schuster, University of Applied Sciences of Eastern Switzerland in Rapperswil, Switzerland

ST2.3—ENABLING VISUAL ANALYSIS IN WIRELESS SENSOR NETWORKS

Alessandro Redondi, Luca Baroffio, Antonio Canclini, Matteo Cesana, Marco Tagliasacchi, Politecnico di Milano, Italy; György Dán, Viktoria Fodor, Emil Eriksson, KTH Royal Institute of Technology, Sweden; João Ascenso, Pedro Monteiro, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal

ST2.4—DEMONSTRATING THE NEW COMPACT DESCRIPTORS FOR VISUAL SEARCH (CDVS) STANDARD FOR IMAGE RETRIEVAL ON MOBILE DEVICES

Attilio Fiandrotti, Giovanni Ballocca, Sisvel Technology, Italy; Marco Gavelli, Istituto Superiore Mario Boella, Italy; Massimo Mattelliano, Sisvel Technology, Italy; Michele Morello, Istituto Superiore Mario Boella, Italy; Alessandra Mosca, Sisvel Technology, Italy; Paolo Vergori, Istituto Superiore Mario Boella, Italy

ST2.5—A MATLAB IMPLEMENTATION OF A FAST INCREMENTAL PRINCIPAL COMPONENT PURSUIT ALGORITHM FOR VIDEO BACKGROUND MODELING

Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, USA

ST2.6—HUMAN TRACKING & VISUAL SPATIO-TEMPORAL STATISTICAL ANALYSIS

Dimosthenis Ioannidis, Stelios Krinidis, Dimitrios Tzovaras, Information Technologies Institute, Greece; Spyros Likothanassis, University of Patras, Greece

ST2.7—RELIABLE AND CONVENIENT MULTIMODAL BIOMETRIC SYSTEM BASED ON IRIS, FACE & PALM FOR HIGH-THROUGHPUT RECOGNITION

Abhishek Gangwar, Akanksha Joshi, Ashutosh Singh, Zia Saquib, Centre for Development of Advanced Computing, India

ST2.8—SCRAMBLING-BASED TOOL FOR SECURE PROTECTION OF JPEG IMAGES

Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland

ST2.9—LIGHTWEIGHT MOBILE OBJECT RECOGNITION

Peter Kiss, Agnes Lipovits, Monika Gal, University of Pannonia, Hungary

ST2.10—SENSAREA, A GENERAL PUBLIC VIDEO EDITING APPLICATION

Pascal Bertolino, Grenoble Alpes University, France

ST2.11—A REAL-TIME CIPHERING TRANSCODER FOR H.264 AND HEVC STREAMS

Benoit Boyadjis, Marc-Emmanuel Perrin, Cyril Bergeron, Sébastien Lecomte, Thales Communications and Security, France

ARS-L7: Object Recognition

14:00  ARS-L7.1—INCREMENTAL TRANSFER LEARNING FOR OBJECT RECOGNITION IN STREAMING VIDEO

Jongdae Kim, John Collomosse, University of Surrey, United Kingdom

14:20  ARS-L7.2—WEIGHTED BAG OF VISUAL WORDS FOR OBJECT RECOGNITION

Marco San Biagio, Istituto Italiano di Tecnologia, Italy; Loris Bazzani, University of Verona, Italy; Marco Cristani, University of Verona & Istituto Italiano di Tecnologia, Italy; Vittorio Murino, University of Verona, Italy

14:40  ARS-L7.3—UNSUPERVISED DOMAIN ADAPTATION USING MANIFOLD ALIGNMENT FOR OBJECT AND EVENT CATEGORIZATION

Suranjana Samanta, Sukhendu Das, Indian Institute of Technology Madras, India

15:00  ARS-L7.4—ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION

Ye He, Chang Xu, Purdue University, USA; Nitin Khanna, Graphic Era University, India; Carol Boushey, University of Hawaii Cancer Center, USA; Ed Delp, Purdue University, USA

15:20  ARS-L7.5—3D OBJECT RETRIEVAL BY 3D CURVE MATCHING

Christian Feinen, Joanna Czajkowska, Marcin Grzegorzek, University of Siegen, Germany; Longin Jan Latecki, Temple University, USA

15:40  ARS-L7.6—SCALABLE LEARNING FOR RESTRICTED BOLTZMANN MACHINES

Elnaz Barshan, Paul Fieguth, University of Waterloo, Canada

ELI-L3: Multiview Image Processing

14:00  ELI-L3.1—RECONSTRUCTION OF IMAGES TAKEN BY A PAIR OF NON-REGULAR SAMPLING SENSORS USING CORRELATION BASED MATCHING

Markus Jonscher, Jürgen Seiler, Thomas Richter, Michel Bätz, Andre Kaup, University of Erlangen-Nuremberg, Germany

14:20  ELI-L3.2—INTER-VIEW CONSISTENT HOLE FILLING IN VIEW EXTRAPOLATION FOR MULTI-VIEW IMAGE GENERATION

Soosung Yoon, Sohn Hosik, Yong Ju Jung, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea

14:40  ELI-L3.3—CORRECTING 3D SCENES ESTIMATED FROM SETS OF MULTI-VIEW IMAGES USING SHAPE-FROM-CONTOURS

Matthew Grum, Adrian Bors, University of York, United Kingdom

15:00  ELI-L3.4—TEMPORAL DEPTH VIDEO ENHANCEMENT BASED ON INTRINSIC STATIC STRUCTURE

Lu Sheng, King Ngan, Songnan Li, Chinese University of Hong Kong, Hong Kong

15:20  ELI-L3.5—WARPING-BASED VIDEO RETARGETING FOR STEREOSCOPIC VIDEO

Stephan Kopf, Benjamin Guthier, Christopher Hipp, Johannes Kiess, Wolfgang Effelsberg, University of Mannheim, Germany

15:40  ELI-L3.6—REGION-BASED DEPTH-PRESERVING STEREOSCOPIC IMAGE RETARGETING

Bing Li, Beijing University, P.R. China; Lingyu Duan, Peking University, P.R. China; Chia-Wen Lin, National Tsing Hua University, Taiwan; Wen Gao, Peking University, P.R. China

SMR-L2: Subspace Representations

14:00  SMR-L2.1—KERNEL SPARSE SUBSPACE CLUSTERING

Vishal Patel, University of Maryland, College Park, USA; Rene Vidal, Johns Hopkins University, USA

14:20  SMR-L2.2—SEMI-SUPERVISED SUBSPACE SEGMENTATION

Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan, Chinese Academy of Sciences, P.R. China

14:40  SMR-L2.3—ENDOGENOUS CONVOLUTIONAL SPARSE REPRESENTATIONS FOR TRANSLATION INVARIANT IMAGE SUBSPACE MODELS

Brendt Wohlberg, Los Alamos National Laboratory, USA

15:00  SMR-L2.4—MULTIDATASET INDEPENDENT SUBSPACE ANALYSIS EXTENDS INDEPENDENT VECTOR ANALYSIS

Rogers Silva, University of New Mexico & The Mind Research Network (MRN), USA; Sergey Plis, The Mind Research Network (MRN), USA; Tulay Adali, University of Maryland, Baltimore County, USA; Vince Calhoun, University of New Mexico, USA

15:20  SMR-L2.5—MINIMIZING DATASET BIAS: DISCRIMINATIVE MULTI-TASK SPARSE CODING THROUGH SHARED SUBSPACE LEARNING FOR IMAGE CLASSIFICATION

Gaowen Liu, Yan Yan, Jingkuan Song, Nicu Sebe, University of Trento, Italy

15:40  SMR-L2.6—ITERATIVE KEYFRAME SELECTION BY ORTHOGONAL SUBSPACE PROJECTION

Shaohui Mei, Northwestern Polytechnical University, P.R. China; Genliang Guan, The University of Sydney, Australia; Zhiyong Wang, University of Sydney, Australia; Mingyi He, Shuai Wan, Northwestern Polytechnical University, P.R. China; David Feng, University of Sydney & Hong Kong Polytechnic University, Australia

TEC-L5: Classification of Medical Images

14:00  TEC-L5.1—DEGRADATION ADAPTIVE TEXTURE CLASSIFICATION

Michael Gadermayr, Andreas Uhl, University of Salzburg, Austria

14:20  TEC-L5.2—IMAGE CLASSIFICATION OF BOWEL ABNORMALITIES AND ISCHEMIA

Tuan Pham, The University of Aizu, Japan; Taichiro Tsunoyama, Teikyo University Hospital, Japan; Truong Cong Thang, The University of Aizu, Japan; Takashi Fujita, Tetsuya Sakamoto, Teikyo University Hospital, Japan

14:40  TEC-L5.3—HELICOBACTER PYLORI INFECTION DETECTION FROM MULTIPLE X-RAY IMAGES BASED ON DECISION LEVEL FUSION

Kenta Ishihara, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

15:00  TEC-L5.4—BRAIN TUMOR CLASSIFICATION USING SPARSE CODING AND DICTIONARY LEARNING

Saif Al-Shaikhli, Michael Ying Yang, Bodo Rosenhahn, Leibniz University Hannover, Germany

15:20  TEC-L5.5—A BAYESIAN MODEL FOR BRAIN TUMOR CLASSIFICATION USING CLINICAL-BASED FEATURES

Tomás Martínez Cortés, Miguel Ángel Fernández-Torres, Amaya Jiménez-Moreno, Iván González-Díaz, Fernando Díaz-de-María, Universidad Carlos III, Spain; Juan Adán Guzmán-de-Villoria, PIlar Fernández, Hospital Gregorio Marañón, Spain

15:40  TEC-L5.6—DEEP LEARNING FOR BRAIN DECODING

Orhan Firat, Middle East Technical University, Turkey; Ilke Oztekin, Koc University, Turkey; Fatos Yarman Vural, Middle East Technical University, Turkey

SS4: Photon-Limited Image Reconstruction

Session Chairs: Charles-Alban Deledalle, Université de Bordeaux; Joseph Salmon, CNRS-Télécom ParisTech

14:00  SS4.1—ITERATIVE POISSON-GAUSSIAN NOISE PARAMETRIC ESTIMATION FOR BLIND IMAGE DENOISING

Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot, Université Paris-Est, Poland; Caroline Chaux, Aix-Marseille Université & CNRS UMR 7353, France

14:20  SS4.2—GENERALIZED SUBSPACE PURSUIT AND AN APPLICATION TO SPARSE POISSON DENOISING

Francois-Xavier Dupé, Aix-Marseille Université, France; Sandrine Anthoine, CNRS & I2M, France

14:40  SS4.3—TO E OR NOT TO E IN POISSON IMAGE RECONSTRUCTION

Albert Oh, Zachary Harmany, Rebecca Willett, University of Wisconsin-Madison, USA

15:00  SS4.4—APPROXIMATE BAYESIAN COMPUTATION, STOCHASTIC ALGORITHMS AND NON-LOCAL MEANS FOR COMPLEX NOISE MODELS

Charles Kervrann, INRIA, France; Philippe Roudot, INRIA Rennes – Bretange Atlantique, France; François Waharte, Institut Curie, France

15:20  SS4.5—SPARSITY BASED POISSON INPAINTING

Raja Giryes, Michael Elad, Technion, Israel

15:40  SS4.6—SPARSE RECONSTRUCTION FROM MULTIPLE-ANGLE TOTAL INTERNAL REFLECTION FLUORESCENCE MICROSCOPY

Emmanuel Soubies, Université Nice Sophia Antipolis, France; Laure Blanc-Féraud, CNRS, France; Sébastien Schaub, Gilles Aubert, Université Nice Sophia Antipolis, France

SS6: Compact Feature-Based Representation of Visual Content

Session Chair: Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI

14:00  SS6.1—VIDEO QUERYING VIA COMPACT DESCRIPTORS OF VISUALLY SALIENT OBJECTS

Hassan Mansour, Shantanu Rane, Petros Boufounos, Anthony Vetro, Mitsubishi Electric Research Laboratories, USA

14:20  SS6.2—CODING BINARY LOCAL FEATURES EXTRACTED FROM VIDEO SEQUENCES

Luca Baroffio, Politecnico di Milano, Italy; João Ascenso, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal; Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy

14:40  SS6.3—ROBUST AND SCALABLE AGGREGATION OF LOCAL FEATURES FOR ULTRA LARGE-SCALE RETRIEVAL

Syed Husain, Miroslaw Bober, University of Surrey, United Kingdom

15:00  SS6.4—CAMERA-BASED INDOOR POSITIONING USING SCALABLE STREAMING OF COMPRESSED BINARY IMAGE SIGNATURES

Dominik Opdenbosch, Technische Universität München, Germany; Georg Schroth, Technische Universität München & NavVis GmbH, Germany; Robert Huitl, Sebastian Hilsenbeck, Adrian Garcea, Eckehard Steinbach, Technische Universität München, Germany

15:20  SS6.5—LOCAL VISUAL FEATURES EXTRACTION FROM TEXTURE+DEPTH CONTENT BASED ON DEPTH IMAGE ANALYSIS

Maxim Karpushin, Télécom ParisTech, France; Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France; Frederic Dufaux, Télécom ParisTech, France

15:40  SS6.6—LOCAL DESCRIPTIONS FOR HUMAN ACTION RECOGNITION FROM 3D RECONSTRUCTION DATA

Georgios Papadopoulos, Petros Daras, Centre for Research and Technology Hellas, Greece

ARS-P10: Foreground/Background Segregation

ARS-P10.1—OBJECTNESS TO IMPROVE THE BAG OF VISUAL WORDS MODEL

Radu Tudor Ionescu, Marius Popescu, University of Bucharest, Romania

ARS-P10.2—CONFIDENCE-AWARE GUIDED IMAGE FILTER

Jobst Hörentrup, Markus Schlosser, Technicolor Research & Innovation, Germany

ARS-P10.3—ROBOT USERS FOR THE EVALUATION OF BOUNDARY-TRACKING APPROACHES IN INTERACTIVE IMAGE SEGMENTATION

Thiago Vallin Spina, Alexandre Falcão, University of Campinas, Brazil

ARS-P10.4—ONLINE FEATURE SUBSET SELECTION FOR OBJECT TRACKING

Jinwei Yuan, Farokh Bastani, University of Texas at Dallas, USA

ARS-P10.5—DETECTING DEFECTS IN REPEATEDLY PATTERNED IMAGE WITH SPATIALLY DIFFERENT LEVEL OF NOISE

Deokyoung Kang, Hae-na Lee, Suk Yoo, Seoul National University, Korea

ARS-P10.6—SALIENCY DETECTION VIA FOREGROUND RENDERING AND BACKGROUND EXCLUSION

Yijun Li, Keren Fu, Zhou Lei, Yu Qiao, Jie Yang, Shanghai Jiao Tong University, P.R. China

ARS-P10.7—A MULTISCALE SPATIO-TEMPORAL BACKGROUND MODEL FOR MOTION DETECTION

Xiqun Lu, Zhejiang University, P.R. China

ARS-P10.8—IMAGE SEGMENTATION USING CONSENSUS FROM HIERARCHICAL SEGMENTATION ENSEMBLES

Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Lawrence Livermore National Laboratory, USA

ARS-P10.9—AUTOMATIC IMAGE CO-SEGMENTATION USING GEOMETRIC MEAN SALIENCY

Koteswar Jerripothula, Jianfei Cai, Nanyang Technological University, Singapore; Fanman Meng, University of Electronic Science and Technology of China, P.R. China; Junsong Yuan, Nanyang Technological University, Singapore

ARS-P10.10—PID-BASED REGULATION OF BACKGROUND DYNAMICS FOR FOREGROUND SEGMENTATION

Philipp Tiefenbacher, Martin Hofmann, Daniel Merget, Gerhard Rigoll, Technische Universität München, Germany

ARS-P10.11—FIGURE/GROUND VIDEO SEGMENTATION USING GREEDY TRANSDUCTIVE COSEGMENTATION

Zhihui Fu, Hongkai Xiong, Shanghai Jiao Tong University, P.R. China

ARS-P10.12—SALIENT OBJECT DETECTION USING OCTONION WITH BAYESIAN INFERENCE

Hong-Yun Gao, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong

ARS-P10.13—SALIENT-REGION DETECTION IN A MULTI-LEVEL FRAMEWORK OF IMAGE SMOOTHING WITH OVER-SEGMENTATION

Hong-Yun Gao, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong

ARS-P10.14—SALIENCY DETECTION USING REGRESSION TREES ON HIERARCHICAL IMAGE SEGMENTS

Gökhan Yildirim, Appu Shaji, Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne, Switzerland

ARS-P10.15—ROBUST 3D SFS RECONSTRUCTION BASED ON RELIABILITY MAPS

Jaime Gallego Vila, Montse Pardas, Technical University of Catalonia, Spain

ARS-P10.16—FOREGROUND OBJECT SEGMENTATION FOR MOVING CAMERA SEQUENCES BASED ON FOREGROUND-BACKGROUND PROBABILISTIC MODELS AND PRIOR PROBABILITY MAPS

Jaime Gallego Vila, Technical University of Catalonia, Spain; Pascal Bertolino, Grenoble Alpes University, France

ARS-P10.17—NATURAL IMAGE MATTING VIA ADAPTIVE LOCAL AND NONLOCAL SAMPLE CLUSTERING

Haiyan Yang, Oscar Au, Yuan Yuan, Wenxiu Sun, Yonggen Ling, Jiahao Pang, Hong Kong University of Science and Technology, Hong Kong

ARS-P10.18—MULTIVIEW FOREGROUND SEGMENTATION USING 3D PROBABILISTIC MODEL

Jaime Gallego Vila, Montse Pardas, Technical University of Catalonia, Spain

ARS-P10.19—AN ADAPTIVE TRANSFER SCHEME BASED ON SPARSE REPRESENTATION FOR FIGURE-GROUND SEGMENTATION

Xianyan Wu, Qi Han, Xiamu Niu, Harbin Institute of Technology, P.R. China

ARS-P11: Pose Estimation

ARS-P11.1—JOINT ESTIMATION OF HEAD POSE AND VISUAL FOCUS OF ATTENTION

Yingning Huang, Dingrui Duan, Jinshi Cui, Peking University, P.R. China; Franck Davoine, CNRS, P.R. China; Li Wang, Hongbin Zha, Peking University, P.R. China

ARS-P11.2—3D-FERNS+: VIEWPOINT-BASED KEYPOINT CLASSIFIER FOR ROBUST 3D OBJECT POSE DETECTION

Tatsuya Kobayashi, Haruhisa Kato, Hiromasa Yanagihara, KDDI R&D Laboratories, Japan

ARS-P11.3—ROBUST FACE POSE CLASSIFICATION METHOD BASED ON GEOMETRY-PRESERVING VISUAL PHRASE

Wei Wei, Northwestern Polytechnical University, P.R. China; Chunna Tian, Xidian University, P.R. China; Yanning Zhang, Northwestern Polytechnical University, P.R. China

ARS-P11.4—HIERARCHICAL GAZE ESTIMATION BASED ON ADAPTIVE FEATURE LEARNING

Xiying Wang, Kang Xue, Samsung R&D Institute China, P.R. China; Dongkyung Nam, Jae-Joon Han, Samsung Advanced Institute of Technology, Korea; Haitao Wang, Samsung R&D Institute China, P.R. China

ARS-P11.5—MAPPING AND RE-LOCALIZATION FOR MOBILE AUGMENTED REALITY

Pierre Martin, IRISA, France; Eric Marchand, IRISA – INRIA Rennes, France; Pascal Houlier, Isabelle Marchal, Orange, France

ARS-P11.6—AUTOMATIC AND ROBUST HEAD POSE ESTIMATION BY BLOCK ENERGY MAP

Wei Li, Yan Huang, Jingliang Peng, Shandong University, P.R. China

ARS-P11.7—GLOBAL MOTION ESTIMATION FROM RELATIVE MEASUREMENTS USING ITERATED EXTENDED KALMAN FILTER ON MATRIX LIE GROUPS

Guillaume Bourmaud, Rémi Mégret, Audrey Giremus, Yannick Berthoumieu, University of Bordeaux, France

ARS-P11.8—SHADOW ANALYSIS FOR CAMERA HEADING IN IMAGE GEO-LOCALIZATION

Matthew Clements, Avideh Zakhor, University of California at Berkeley, USA

ARS-P11.9—DIRECTIONAL CHAMFER MATCHING IN 2.5 DIMENSIONS

Prabhu Kaliamoorthi, Ramakrishna Kakarala, Nanyang Technological University, Singapore

ARS-P11.10—ORIENTATION ESTIMATION FOR PLANAR TEXTURED SURFACES BASED ON COMPLEX WAVELETS

Nantheera Anantrasirichai, Jeremy Burn, David Bull, University of Bristol, United Kingdom

ARS-P11.11—LYING-POSE DETECTION WITH TRAINING DATASET EXPANSION

Dao-Xun Xia, Song-Zhi Su, Shaozhi Li, Xiamen University, P.R. China; Pierre-Marc Jodoin, University of Sherbrooke, Canada

ARS-P11.12—SEMI-SUPERVISED LEARNING OF SPARSE REPRESENTATIONS TO RECOGNIZE PEOPLE SPATIAL ORIENTATION

Nicoletta Noceti, Università di Genova, Italy; Francesca Odone, Universita’ di Genova, Italy

ARS-P11.13—EFFICIENT 2D HUMAN POSE ESTIMATION USING MEAN-SHIFT

Abdul Rafay Khalid, Ali Hassan, Murtaza Taj, Lahore University of Management Sciences, Pakistan

ARS-P11.14—MULTI-LAYER TEMPORAL GRAPHICAL MODEL FOR HEAD POSE ESTIMATION IN REAL-WORLD VIDEOS

Meltem Demirkus, Doina Precup, James Clark, Tal Arbel, McGill University, Canada

ARS-P11.15—UNCERTAINTY MODELING FOR EFFICIENT VISUAL ODOMETRY VIA INERTIAL SENSORS ON MOBILE DEVICES

Yagiz Aksoy, ETH Zurich & Disney Research Zurich, Switzerland; Aydin Alatan, Middle East Technical University, Turkey

ARS-P9: Indexing and Retrieval

ARS-P9.1—ROTATION-INVARIANT TEXTURE RETRIEVAL USING A STEERABLE GAUSSIAN COPULA MODEL

Hassan Rami, Ahmed Drissi El Maliani, Mohammed El Hassouni, University of Mohammed V-Agdal, Morocco; Yannick Berthoumieu, University of Bordeaux, France

ARS-P9.2—LOCALITY PRESERVING HASHING

Yi-Hsuan Tsai, Ming-Hsuan Yang, University of California at Merced, USA

ARS-P9.3—EXPLOITING DISPARITY INFORMATION FOR STEREO IMAGE RETRIEVAL

Amani Chaker, SUP’COM, Tunisia; Mounir Kaaniche, Université Paris 13, France; Amel Benazza, SUP’COM, Carthage University & Communication, Signal and Image Laboratory, Tunisia

ARS-P9.4—SKETCH BASED IMAGE RETRIEVAL USING A SOFT COMPUTATION OF THE HISTOGRAM OF EDGE LOCAL ORIENTATIONS (S-HELO)

Jose Saavedra, Orand S.A., Chile

ARS-P9.5—PLSA DRIVEN IMAGE ANNOTATION, CLASSIFICATION, AND TOURISM RECOMMENDATION

Konstantinos Pliakos, Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece

ARS-P9.6—A PRACTICAL SPATIAL RE-RANKING METHOD FOR INSTANCE SEARCH FROM VIDEOS

Xiao Zhou, Hefei Normal University, P.R. China; Cai-Zhi Zhu, Nagoya University, Japan; Qiang Zhu, Hefei Normal University, P.R. China; Shin’ichi Satoh, National Institute of Informatics, Japan; Yu-Tang Guo, Hefei Normal University, P.R. China

ARS-P9.7—WEIGHTED SVM FROM CLICKTHROUGH DATA FOR IMAGE RETRIEVAL

Ioannis Sarafis, Christos Diou, Aristotle University of Thessaloniki, Greece; Theodora Tsikrika, Centre for Research and Technology Hellas, Greece; Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece

ARS-P9.8—IMPROVING VLAD: HIERARCHICAL CODING AND A REFINED LOCAL COORDINATE SYSTEM

Christian Eggert, Stefan Romberg, Rainer Lienhart, University of Augsburg, Germany

ARS-P9.9—FARNESS PRESERVING NON-NEGATIVE MATRIX FACTORIZATION

Mohammadreza Babaee, Institute for Human-Machine Communication, Germany; Gholamreza Bahmanyar, Munich Aerospace Faculty, German Aerospace Center (DLR), Germany; Gerhard Rigoll, Technische Universität München, Germany; Mihai Datcu, German Aerospace Center, Germany

ARS-P9.10—ARABIC TEXT DETECTION IN VIDEOS USING NEURAL AND BOOSTING-BASED APPROACHES: APPLICATION TO VIDEO INDEXING

Sonia Yousfi, Sid-Ahmed Berrani, Orange Labs – France Telecom, France; Christophe Garcia, INSA-Lyon, France

ARS-P9.11—L1-NORM GLOBAL GEOMETRIC CONSISTENCY FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL

Yang Lin, Chen Xu, Li Yang, Zhouchen Lin, Hongbin Zha, Peking University, P.R. China

ARS-P9.12—ON VISUAL SIMILARITY BASED INTERACTIVE PRODUCT RECOMMENDATION FOR ONLINE SHOPPING

Jen-Hao Hsiao, Yahoo Taiwan, Taiwan; Li-Jia Li, Yahoo! Research, USA

ARS-P9.13—CONTENT-BASED IMAGE RETRIEVAL USING COLOR FEATURES OF SALIENT REGIONS

Jaehyun An, Sang Hwa Lee, Nam Ik Cho, Seoul National University, Korea

ARS-P9.14—SCENE-BASED AUTOMATIC IMAGE ANNOTATION

Amara Tariq, Hassan Foroosh, University of Central Florida, USA

ARS-P9.15—IMAGE AUTO-ANNOTATION BY EXPLOITING WEB INFORMATION

I-Hong Jhuo, Academia Sinica, Taiwan; Li Weng, INRIA Rennes – Bretagne Atlantique, France

ARS-P9.16—DENSE SAMPLING OF FEATURES FOR IMAGE RETRIEVAL

Ronan Sicre, University of Caen, France; Theo Gevers, University of Amsterdam, The Netherlands

ARS-P9.17—IMAGE TAG COMPLETION BY LOW-RANK FACTORIZATION WITH DUAL RECONSTRUCTION STRUCTURE PRESERVED

Xue Li, Yu-Jin Zhang, Tsinghua University, P.R. China; Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China

ARS-P9.18—IMAGE RETRIEVAL WITH HIERARCHICAL MATCHING PURSUIT

Shasha Bu, Yu-Jin Zhang, Tsinghua University, P.R. China

ARS-P9.19—BENCHMARKING RESULT DIVERSIFICATION IN SOCIAL IMAGE RETRIEVAL

Bogdan Ionescu, University Politehnica of Bucharest, Romania; Adrian Popescu, CEA/LIST-Lic2m, France; Henning Müller, University of Applied Sciences Western Switzerland, Switzerland; María Menéndez, University of Trento, Italy; Anca-Livia Radu, University Politehnica of Bucharest, Romania

ARS-P9.20—LINKING TEXT AND VISUAL CONCEPTS SEMANTICALLY FOR CROSS MODAL MULTIMEDIA SEARCH

Bahjat Safadi, Mathilde Sahuguet, Benoit Huet, EURECOM, France

ARS-P9.21—EFFICIENT VIDEO SEARCH USING IMAGE QUERIES

Andre Araujo, Stanford University, USA; Mina Makar, Qualcomm Inc., USA; Vijay Chandrasekhar, Institute for Infocomm Research, Singapore; David Chen, Sam Tsai, Huizhong Chen, Roland Angst, Bernd Girod, Stanford University, USA

ARS-P9.22—RETRIEVING IMAGES USING SALIENCY DETECTION AND GRAPH MATCHING

Shao Huang, Weiqiang Wang, Hui Zhang, University of Chinese Academy of Sciences, P.R. China

ARS-P9.23—CROSS MODAL METRIC LEARNING WITH MULTI-LEVEL SEMANTIC RELEVANCE

Yan Hua, Beijing University of Posts and Telecommunications, P.R. China; Shuhui Wang, Chinese Academy of Sciences, P.R. China; Zhicheng Zhao, Beijing University of Posts and Telecommunications, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China; Anni Cai, Beijing University of Posts and Telecommunications, P.R. China

ARS-P9.24—SKETCH2MANGA: SKETCH-BASED MANGA RETRIEVAL

Yusuke Matsui, Kiyoharu Aizawa, University of Tokyo, Japan; Yushi Jing, Google, USA

ARS-P9.25—IMAGE ANNOTATION VIA LEARNING THE IMAGE-LABEL INTERRELATIONS

Yonghao He, Jian Wang, Shiming Xiang, Chunhong Pan, Chinese Academy of Sciences, P.R. China

ARS-P9.26—AUTOMATIC IMAGE ANNOTATION USING INVERSE MAPS FROM SEMANTIC EMBEDDINGS

Jayaraman J. Thiagarajan, Lawrence Livermore National Laboratory, USA; Karthikeyan Natesan Ramamurthy, IBM Thomas J. Watson Research Center, USA; Prasanna Sattigeri, Arizona State University, USA; Peer-Timo Bremer, Lawrence Livermore National Laboratory, USA; Andreas Spanias, Arizona State University, USA

ARS-P9.27—SCENE AND VIEWPOINT BASED VISUAL SUMMARIZATION FOR LANDMARKS

Weiqing Min, Bing-Kun Bao, Changsheng Xu, Chinese Academy of Sciences, P.R. China

ARS-P9.28—IMAGE MATCHING USING ADAPTED IMAGE MODELS AND ITS APPLICATION TO CONTENT-BASED IMAGE RETRIEVAL

Bo Li, Beijing Institute of Technology, P.R. China; Zhenjiang Miao, Beijing Jiaotong University, P.R. China

ARS-P9.29—FAST AND ACCURATE VIDEO ANNOTATION USING DENSE MOTION HYPOTHESES

Loïc Fagot-Bouquet, Jaonary Rabarisoa, Quoc Cuong Pham, CEA, LIST, Vision and Content Engineering Laboratory, France

ARS-P9.30—OPTIMAL NO-INTERSECTION MULTI-LABEL BINARY LOCALIZATION FOR TIME SERIES USING TOTALLY UNIMODULAR LINEAR PROGRAMMING

Ricardo Cabral, Carnegie Mellon University, USA; João Paulo Costeira, Alexandre Bernardino, Instituto Superior Técnico, Portugal; Fernando De la Torre, Carnegie Mellon University, USA

ARS-P9.31—3D NON-RIGID PATTERN RECOGNITION BASED ON STRUCTURAL ANALYSIS

Meha Hachani, Azza Ouled Zaid, University of Tunis El Manar, Tunisia; William Puech, LIRMM, France

COM-P2: Video Compression

COM-P2.1—HIERARCHICAL DEPENDENCY CONTEXT MODEL BASED ARITHMETIC CODING FOR DCT VIDEO COMPRESSION

Min Gao, Debin Zhao, Qiang Wang, Wen Gao, Harbin Institute of Technology, P.R. China

COM-P2.2—ADAPTIVE WEIGHTED DISTORTION OPTIMIZATION FOR VIDEO CODING IN RGB COLOR SPACE

Yue Huang, Honggang Qi, University of Chinese Academy of Sciences, P.R. China; Bin Li, Microsoft Research, P.R. China; Ji-Zheng Xu, Microsoft Research Asia, P.R. China

COM-P2.3—RATE-DISTORTION OPTIMIZATION AND ADAPTATION OF INTRA PREDICTION FILTER PARAMETERS

Shunyao Li, Yue Chen, University of California, Santa Barbara, USA; Jingning Han, Google, USA; Tejaswi Nanjundaswamy, Kenneth Rose, University of California, Santa Barbara, USA

COM-P2.4—NEAREST-NEIGHBOR INTRA PREDICTION FOR SCREEN CONTENT VIDEO CODING

Haoming Chen, University of Washington-Seattle, USA; Ankur Saxena, Felix Fernandes, Samsung Information Systems America, USA

COM-P2.5—FIR/IIR CASCADE APPROXIMATING H.264/AVC INTERPOLATION FILTER

Nikolay Shlyakhov, Miroslav Goncharenko, Alexei Leonenko, Intel, Russia

COM-P2.6—MASKING OF TRANSFORMED INTRA-PREDICTED BLOCKS FOR HIGH QUALITY IMAGE AND VIDEO CODING

Saverio Blasi, Queen Mary, University of London, United Kingdom; Marta Mrak, BBC, United Kingdom; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

COM-P2.7—MODE-DEPENDENT DISTORTION MODELING FOR H.264/SVC COARSE GRAIN SNR SCALABILITY

Yin-An Jian, Chun-Chi Chen, Wen-Hsiao Peng, National Chiao Tung University, Taiwan

COM-P2.8—JOINT DESIGN OF BI-PREDICTIVE INTERPOLATION FILTERS

Koohyar Minoo, Arris Group Inc., USA; Jian Lou, Apple, USA

COM-P2.9—RATE DISTORTION-BASED MOTION ESTIMATION SEARCH ORDERING FOR RATE-CONSTRAINED SUCCESSIVE ELIMINATION ALGORITHMS

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers, École de Technologie Supérieure, Canada

COM-P2.10—HIERARCHICAL ANCHORING OF MOTION FIELDS FOR FULLY SCALABLE VIDEO CODING

Dominic Ruefenacht, Reji Mathew, David Taubman, University of New South Wales, Australia

COM-P2.11—AN EFFICIENT ADAPTIVE ENERGY MODEL BASED PREDICTIVE MOTION ESTIMATION ALGORITHM FOR VIDEO CODING

Amir Ghahremani, Amir Mousavinia, K. N. Toosi University of Technology, Iran

COM-P2.12—RECURSIVE PREDICTION FOR JOINT SPATIAL AND TEMPORAL PREDICTION IN VIDEO CODING

Fatih Kamisli, Middle East Technical University, Turkey

COM-P2.13—ADAPTIVE LAGRANGE MULTIPLIER SELECTION MODEL IN RATE DISTORTION OPTIMIZATION FOR 3D WAVELET-BASED SCALABLE VIDEO CODING

Ying Chen, Guizhong Liu, Xi’an Jiaotong University, P.R. China

COM-P2.14—BIT RATE ESTIMATION FOR H.264/AVC VIDEO ENCODING BASED ON TEMPORAL AND SPATIAL ACTIVITIES

Christian Lottermann, Alexander Machado, BMW Group, Germany; Damien Schroeder, Technische Universität München, Germany; Yang Peng, Intel Mobile Communications, Germany; Eckehard Steinbach, Technische Universität München, Germany

COM-P2.15—LOW-COMPLEXITY DICTIONARY BASED LOSSLESS SCREEN CONTENT CODING

Meng Xu, Polytechnic Institute of New York University, USA; Zhan Ma, Wei Wang, Xian Wang, Haoping Yu, Huawei USA R&D Center, USA

COM-P2.16—CORRELATION NOISE MODELING FOR MULTIVIEW TRANSFORM DOMAIN WYNER-ZIV VIDEO CODING

Catarina Brites, Fernando Pereira, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal

COM-P2.17—COMPLEXITY REDUCTION FOR 3D-HEVC DEPTH MAPS INTRA-FRAME PREDICTION USING SIMPLIFIED EDGE DETECTOR ALGORITHM

Gustavo Sanchez, Mário Saldanha, Gabriel Balota, Federal University of Pelotas, Brazil; Bruno Zatt, Federal University of Rio Grande do Sul, Brazil; Marcelo Porto, Luciano Agostini, Federal University of Pelotas, Brazil

COM-P2.18—FAST CODING TREE UNIT DEPTH DECISION FOR HIGH EFFICIENCY VIDEO CODING

Zhaoqing Pan, Sam Kwong, Yun Zhang, City University of Hong Kong, Hong Kong; Jianjun Lei, Tianjin University, P.R. China; Hui Yuan, City University of Hong Kong, Hong Kong

COM-P2.19—GENERIC SEGMENT-WISE DC FOR 3D-HEVC DEPTH INTRA CODING

Hongbin Liu, Ying Chen, Qualcomm, P.R. China

COM-P2.20—QUANTIZATION OPTIMIZATION IN MULTIVIEW PLUS DEPTH VIDEO CODING

Krzysztof Klimaszewski, Olgierd Stankiewicz, Krzysztof Wegner, Marek Domański, Poznan University of Technology, Poland

COM-P2.21—A NOVEL DISTORTION MODEL FOR DEPTH CODING IN 3D-HEVC

Chenyang Li, Graduate School at Shenzhen, Tsinghua University, P.R. China; Xin Jin, Qionghai Dai, Tsinghua University, P.R. China

COM-P2.22—A PANORAMIC 3D VIDEO CODING WITH DIRECTIONAL DEPTH AIDED INPAINTING

Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto, Università degli Studi di Torino, Italy

TEC-P7: Wavelets and Filtering

TEC-P7.1—FAST L1 GAUSSIAN CONVOLUTION VIA DOMAIN SPLITTING

Shin Yoshizawa, Hideo Yokota, RIKEN, Japan

TEC-P7.2—LEARNING FILTERS IN GAUSSIAN PROCESS CLASSIFICATION PROBLEMS

Pablo Ruiz, Javier Mateos, Rafael Molina, Universidad de Granada, Spain; Aggelos K. Katsaggelos, Northwestern University, USA

TEC-P7.3—SCALE-SPACE FILTERING USING A PIECEWISE POLYNOMIAL REPRESENTATION

Gou Koutaki, Keiichi Uchimura, Kumamoto University, Japan

TEC-P7.4—IMPULSE-MOWING ANISOTROPIC DIFFUSION FILTER FOR IMAGE DENOISING

Hakran Kim, Seongjai Kim, Mississippi State University, USA

TEC-P7.5—FAST AND MEMORY-EFFICIENT QUANTILE FILTER FOR DATA IN THREE AND HIGHER DIMENSIONS

Dennis Mosbach, Hans Hagen, University of Kaiserslautern, Germany; Michael Godehardt, Oliver Wirjadi, Fraunhofer ITWM, Germany

TEC-P7.6—A FIRST PARALLEL ALGORITHM TO COMPUTE THE MORPHOLOGICAL TREE OF SHAPES OF ND IMAGES

Sébastien Crozet, Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France

TEC-P7.7—IMAGE ADAPTED TOTAL ORDERING FOR MATHEMATICAL MORPHOLOGY ON MULTIVARIATE IMAGES

Emmanuel Chevallier, Jesus Angulo, MINES ParisTech, France

TEC-P7.8—A NOVEL HYPERSPECTRAL IMAGES DESTRIPING METHOD BASED ON EDGE RECONSTRUCTION AND ADAPTIVE MORPHOLOGICAL OPERATORS

Yidan Teng, Ye Zhang, Yushi Chen, Chunli Ti, Harbin Institute of Technology, P.R. China

TEC-P7.9—MEANINGFUL DISJOINT LEVEL LINES SELECTION

Yongchao Xu, Edwin Carlinet, EPITA Research and Development Laboratory & University of Paris-Est, France; Thierry Géraud, EPITA Research and Development Laboratory (LRDE), France; Laurent Najman, Université Paris-Est, France

TEC-P7.10—ULTIMATE GRAIN FILTER

Wonder Alves, Ronaldo Hashimoto, University of São Paulo, Brazil

TEC-P7.11—OCEAN SURFACE CURRENT RETRIEVAL USING A NON HOMOGENEOUS MARKOV-SWITCHING MULTI-REGIME MODEL

Pierre Tandeo, Ronan Fablet, Telecom Bretagne, France; Pierre Ailliot, University of Brest, France

TEC-P7.12—MULTIDIMENSIONAL LINEAR-PHASE PERFECT RECONSTRUCTION FILTER BANKS WITH HIGHER ORDER FEASIBLE BUILDING BLOCKS

Ami Hamamoto, Masaki Onuki, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

TEC-P7.13—VOW: VARIANCE OPTIMAL WAVELETS FOR THE STEERABLE PYRAMID

Pedram Pad, Virginie Uhlmann, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland

TEC-P7.14—DIAGONAL VECTORISATION OF 2-D WAVELET LIFTING

David Barina, Pavel Zemcik, Brno University of Technology, Czech Republic

TEC-P7.15—EDGE-AWARE IMAGE GRAPH EXPANSION METHODS FOR OVERSAMPLED GRAPH LAPLACIAN MATRIX

Akie Sakiyama, Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan

ARS-L8: Object Detection

16:30  ARS-L8.1—OBJECT DETECTION USING EDGE HISTOGRAM OF ORIENTED GRADIENT

Haoyu Ren, Ze-Nian Li, Simon Fraser University, Canada

16:50  ARS-L8.2—LAPLACIAN OBJECT: ONE-SHOT OBJECT DETECTION BY LOCALITY PRESERVING PROJECTION

Sujoy Kumar Biswas, Peyman Milanfar, University of California, Santa Cruz, USA

17:10  ARS-L8.3—WINDOW MINING BY CLUSTERING MID-LEVEL REPRESENTATION FOR WEAKLY SUPERVISED OBJECT DETECTION

Chong Wang, Weiqiang Ren, Kaiqi Huang, Chinese Academy of Sciences, P.R. China

17:30  ARS-L8.4—FUSING GENERIC OBJECTNESS AND DEFORMABLE PART-BASED MODELS FOR WEAKLY SUPERVISED OBJECT DETECTION

Yuxing Tang, Xiaofang Wang, Emmanuel Dellandrea, Ecole Centrale de Lyon, France; Simon Masnou, Université Lyon 1, France; Liming Chen, Ecole Centrale de Lyon, France

17:50  ARS-L8.5—HETEROGENEOUS DOMAIN ADAPTATION USING PREVIOUSLY LEARNED CLASSIFIER FOR OBJECT DETECTION PROBLEM

Azadeh Mozafari, Mansour Jamzad, Sharif University of Technology, Iran

COI-L1: Microscopic Imaging

16:30  COI-L1.1—EXACT RECONSTRUCTION IN QUANTITATIVE PHASE MICROSCOPY

Chandra Sekhar Seelamantula, Basty Ajay Shenoy, Indian Institute of Science, India; Séverine Coquoz, Theo Lasser, École Polytechnique Fédérale de Lausanne, Switzerland

16:50  COI-L1.2—PHASE RETRIEVAL BY USING TRANSPORT-OF-INTENSITY EQUATION AND DIFFERENTIAL INTERFERENCE CONTRAST MICROSCOPY

Emrah Bostan, Emmanuel Froustey, Benjamin Rappaz, Etienne Shaffer, Daniel Sage, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland

17:10  COI-L1.3—ON PROPER SIMULATION OF PHENOMENA INFLUENCING IMAGE FORMATION IN FLUORESCENCE MICROSCOPY

David Svoboda, Vladimír Ulman, Luděk Matyska, Martin Maška, Ján Bella, Stanislav Stejskal, Masaryk University, Czech Republic

17:30  COI-L1.4—BINARIZATION OF NOISY MICROSCOPY IMAGES THROUGH SIGNAL RECONSTRUCTION USING ITERATIVE DETECTION NETWORK

Tomas Lukes, Daniel Kekrt, Karel Fliegel, Milos Klima, Czech Technical University in Prague, Czech Republic

17:50  COI-L1.5—ALGORITHM AND BENCHMARK DATASET FOR STAIN SEPARATION IN HISTOLOGY IMAGES

Michael McCann, Joshita Majumdar, Carnegie Mellon University, USA; Cheng Peng, PSsolution, USA; Carlos Castro, Magee-Womens Research Institute and Foundation of the University of Pittsburgh, USA; Jelena Kovacevic, Carnegie Mellon University, USA

DIS-L1: Mobile Visual Search

16:30  DIS-L1.1—ELEMENTARY BLOCK EXTRACTION FOR MOBILE IMAGE SEARCH

José Mennesson, Pierre Tirilly, Jean Martinet, University of Lille, France

16:50  DIS-L1.2—CONTEXT-AWARE CODEBOOK LEARNING FOR MOBILE LANDMARK RECOGNITION

Tao Chen, Jiayuan Fan, Shijian Lu, Agency for Science, Technology and Research, Singapore

17:10  DIS-L1.3—WORD-HOGS: WORD HISTOGRAM OF ORIENTED GRADIENTS FOR MOBILE VISUAL SEARCH

Sam Tsai, Huizhong Chen, David Chen, Bernd Girod, Stanford University, USA

17:30  DIS-L1.4—A HOG-BASED HAND GESTURE RECOGNITION SYSTEM ON A MOBILE DEVICE

Lukas Prasuhn, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa, Waseda University, Japan

17:50  DIS-L1.5—JOINT OPTIMIZATION OF JPEG QUANTIZATION TABLE AND COEFFICIENT THRESHOLDING FOR LOW BITRATE MOBILE VISUAL SEARCH

Yitong Wang, Lingyu Duan, Jie Lin, Tiejun Huang, Wen Gao, Peking University, P.R. China

TEC-L6: Image Enhancement

16:30  TEC-L6.1—COMPRESSED FACE HALLUCINATION

Sifei Liu, Ming-Hsuan Yang, University of California at Merced, USA

16:50  TEC-L6.2—SINGLE IMAGE DEHAZING WITH IMAGE ENTROPY AND INFORMATION FIDELITY

Dubok Park, Hyungjo Park, Korea University, Korea; K. Han David, Office of Naval Research, USA; Hanseok Ko, Korea University, Korea

17:10  TEC-L6.3—BLIND IMAGE DEBLURRING USING NON-NEGATIVE SPARSE APPROXIMATION

Muhammad Hanif, The Australian National University, Australia; Abd-krim Seghouane, The University of Melbourne, Australia

17:30  TEC-L6.4—IMAGE ENHANCEMENT BY ENTROPY MAXIMIZATION AND QUANTIZATION RESOLUTION UPCONVERSION

Yi Niu, Xidian University & McMaster University, P.R. China; Xiaolin Wu, McMaster University, Canada; Guangming Shi, Xidian University, P.R. China

17:50  TEC-L6.5—IMAGE BIT-DEPTH ENHANCEMENT VIA MAXIMUM-A-POSTERIORI ESTIMATION OF GRAPH AC COMPONENT

Pengfei Wan, Hong Kong University of Science and Technology, Hong Kong; Gene Cheung, National Institute of Informatics, Japan; Dinei Florencio, Cha Zhang, Microsoft Research, USA; Oscar Au, Hong Kong University of Science and Technology, Hong Kong

SS11: Realistic 3D in Interactive Virtual Worlds

Session Chair: Julie Wall, University of London

16:30  SS11.1—ARCHITECTURE OF A SOCIO-CONVERSATIONAL AGENT IN VIRTUAL WORLDS

Brian Ravenet, Magalie Ochs, Catherine Pelachaud, Télécom ParisTech, France

16:50  SS11.2—MONITORING AND TAILORING THE USAGE OF NETWORK RESOURCES FOR SMOOTHING THE PROVISION OF INTERACTIVE 3D SERVICES

Andreas Papadakis, School of Pedagogical and Technological Education (ASPETE), Greece; Theodore Zahariadis, TEI of Sterea Ellada, Greece; Costas Vrioni, SYNELIXIS, Greece

17:10  SS11.3—OPTIMIZED SCALABLE VIDEO TRANSMISSION OVER P2P NETWORK WITH HIERARCHICAL NETWORK CODING

Shenglan Huang, Michele Sanna, Ebroul Izquierdo, Pengwei Hao, Queen Mary, University of London, United Kingdom

17:30  SS11.4—ARTICULATED 3D MODEL TRACKING WITH ON-THE-FLY TEXTURING

Philipp Fechteler, Wolfgang Paier, Fraunhofer HHI, Germany; Peter Eisert, Fraunhofer HHI & Humboldt University, Germany

17:50  SS11.5—SHELLCAM: INTERACTIVE GEOMETRY-AWARE VIRTUAL CAMERA CONTROL

Tamy Boubekeur, Télécom ParisTech, France

SS2: Learning Image Features to Encode Visual Information

Session Chairs: Javier Portilla, Consejo Superior de Investigaciones Científicas (CSIC); Joan Serra-Sagrista, Universitat Autonoma de Barcelona

16:30  SS2.1—LEARNING TRANSFORMATIONS

Qiang Qiu, Guillermo Sapiro, Duke University, USA

16:50  SS2.2—LEARNING SPARSE FILTERBANK TRANSFORMS WITH CONVOLUTIONAL ICA

Johannes Ballé, Eero Simoncelli, New York University & Howard Hughes Medical Institute, USA

17:10  SS2.3—IMAGE RESTORATION VIA BAYESIAN STRUCTURED SPARSE CODING

Weisheng Dong, Xidian University, P.R. China; Xin Li, West Virginia University, USA; Yi Ma, Microsoft Research Asia, P.R. China; Guangming Shi, Xidian University, P.R. China

17:30  SS2.4—LOSSLESS CODING OF HYPERSPECTRAL IMAGES WITH PRINCIPAL POLYNOMIAL ANALYSIS

Naoufal Amrani, Universitat Autonoma de Barcelona, Spain; Valero Laparra, Gustavo Camps-Valls, Universitat de València, Spain; Joan Serra-Sagrista, Universitat Autonoma de Barcelona, Spain; Jesus Malo, Universitat de València, Spain

17:50  SS2.5—LOCAL FEATURE SELECTION FOR EFFICIENT BINARY DESCRIPTOR CODING

Pedro Monteiro, João Ascenso, Fernando Pereira, Instituto Superior de Engenharia de Lisboa & Instituto de Telecomunicações, Portugal

COM-P3: HEVC

COM-P3.1—SAMPLE-BASED WEIGHTED PREDICTION FOR LOSSLESS ENHANCEMENT LAYER CODING IN SHVC

Andreas Heindel, Eugen Wige, Andre Kaup, University of Erlangen-Nuremberg, Germany

COM-P3.2—LINEAR ADAPTIVE SEARCH RANGE MODEL FOR UNI-PREDICTION AND MOTION ANALYSIS FOR BI-PREDICTION IN HEVC

Longshan Du, Zhenyu Liu, Tsinghua University, P.R. China; Takeshi Ikenaga, Waseda University, Japan; Dongsheng Wang, Tsinghua University, P.R. China

COM-P3.3—HEVC-BASED DEBLOCKING FILTER WITH RAMP PRESERVATION PROPERTIES

Andrey Norkin, Ericsson, Sweden

COM-P3.4—FAST HIERARCHICAL INTRA ANGULAR MODE SELECTION FOR HIGH EFFICIENCY VIDEO CODING

Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel, Karlsruhe Institute of Technology, Germany

COM-P3.5—BACKWARD COMPATIBLE ENHANCEMENT OF CHROMA FORMAT IN HEVC

Done Bugdayci Sansli, Tampere University of Technology, Finland; Kemal Ugur, Miska Hannuksela, Nokia Research Center, Finland; Moncef Gabbouj, Tampere University of Technology, Finland

COM-P3.6—EFFECTIVE CODING UNIT SIZE DECISION BASED ON MOTION HOMOGENEITY CLASSIFICATION FOR HEVC INTER PREDICTION

Thanuja Mallikarachchi, Anil Fernando, Hemantha Kodikara Arachchi, University of Surrey, United Kingdom

COM-P3.7—ENHANCED AMVP MECHANISM BASED ADAPTIVE MOTION SEARCH RANGE DECISION ALGORITHM FOR FAST HEVC CODING

Wei-Da Chien, Ke-Ying Liao, Jar-Ferr Yang, National Cheng Kung University, Taiwan

COM-P3.8—CROSS COMPONENT DECORRELATION FOR HEVC RANGE EXTENSION STANDARD

Wei Pu, Woo-Shik Kim, Jianle Chen, Joel Sole, Marta Karczewicz, Qualcomm, USA

COM-P3.9—FAST INTRA MODE DECISION FOR HEVC BASED ON TRANSPARENT COMPOSITE MODEL

Nan Hu, En-hui Yang, University of Waterloo, Canada

COM-P3.10—MODIFIED SAMPLE ADAPTIVE OFFSET FILTERING AS AN INTER-LAYER PROCESSING FOR SCALABLE HEVC

Patrice Onno, Guillaume Laroche, Christophe Gisquet, Canon Research Centre France, France

COM-P3.11—FAST AND EFFICIENT INTER CU DECISION FOR HIGH EFFICIENCY VIDEO CODING

Jian Xiong, Hongliang Li, Fanman Meng, Bing Zeng, Shuyuan Zhu, Qingbo Wu, University of Electronic Science and Technology of China, P.R. China

COM-P3.12—INTRA PREDICTION WITH ADAPTIVE CU PROCESSING ORDER IN HEVC

Amin Zheng, Oscar Au, Yuan Yuan, Hong Kong University of Science and Technology, Hong Kong; Haitao Yang, Huawei Technologies Co., Ltd, P.R. China; Jiahao Pang, Yonggen Ling, Hong Kong University of Science and Technology, Hong Kong

COM-P3.13—DECODER COMPLEXITY REDUCTION FOR THE SCALABLE EXTENSION OF HEVC

Christian Feldmann, Fabian Jäger, Mathias Wien, RWTH Aachen University, Germany

COM-P3.14—SCALABLE EXTENSION OF HEVC USING ENHANCED INTER-LAYER PREDICTION

Thorsten Laude, Leibniz Universität Hannover, Germany; Xiaoyu Xiu, Jie Dong, Yuwen He, Yan Ye, InterDigital Communications, USA; Joern Ostermann, Leibniz Universitaet Hannover, Germany

COM-P3.15—ADAPTIVE CROSS-COMPONENT PREDICTION FOR 4:4:4 HIGH EFFICIENCY VIDEO CODING

Ali Khairat, Tung Nguyen, Mischa Siekmann, Detlev Marpe, Thomas Wiegand, Fraunhofer HHI, Germany

COM-P3.16—MODELING THE ENERGY CONSUMPTION OF HEVC P- AND B-FRAME DECODING

Christian Herglotz, Dominic Springer, Andre Kaup, University of Erlangen-Nuremberg, Germany

COM-P3.17—SCREEN CONTENT CODING FOR HEVC BY IMPROVED LINE-BASED INTRA BLOCK COPY

Mengmeng Zhang, Yang Zhang, North China University of Technology, P.R. China; Xiulian Peng, Ji-Zheng Xu, Microsoft Research Asia, P.R. China

COM-P3.18—DOMINANT EDGE DIRECTION BASED FAST PARAMETER ESTIMATION ALGORITHM FOR SAMPLE ADAPTIVE OFFSET IN HEVC

Jaehwan Joo, Yongseok Choi, Samsung Electronics, Korea

COM-P3.19—AN ADAPTIVE RESIDUAL DECORRELATION METHOD FOR HEVC

Kei Kawamura, Haruhisa Kato, Sei Naito, KDDI R&D Laboratories, Japan

COM-P3.20—REGION BASED INTER-LAYER CROSS-COLOR FILTERING FOR SCALABLE EXTENSION OF HEVC

Xiang Li, Wei Pu, Jianle Chen, Marta Karczewicz, Qualcomm, USA; Elena Alshina, Alexander Alshin, Yongjin Cho, Samsung, Korea

COM-P3.21—TEMPORAL LAYER ADAPTIVE LOOP FILTER FOR HEVC

Qinglong Han, Wai-Kuen Cham, The Chinese University of Hong Kong, Hong Kong

COM-P3.22—BINARY CLASSIFICATION BASED LINEAR RATE ESTIMATION MODEL FOR HEVC RDO

Zhenyu Liu, Tsinghua University, P.R. China; Sanchuan Guo, National Computer Network Emergency Response Technical Team/Coordination Center, P.R. China; Dongsheng Wang, Tsinghua University, P.R. China

ELI-P4: Multiview Systems

ELI-P4.1—SCREEN-CAMERA CALIBRATION USING A THREAD

Songnan Li, King Ngan, Lu Sheng, Chinese University of Hong Kong, Hong Kong

ELI-P4.2—RADIAL DISTORTION CORRECTION FROM A SINGLE IMAGE OF A PLANAR CALIBRATION PATTERN USING CONVEX OPTIMIZATION

Xianghua Ying, Xiang Mei, Sen Yang, Ganwen Wang, Hongbin Zha, Peking University, P.R. China

ELI-P4.3—CALIBRATION OF AN INDUSTRIAL VISION SYSTEM USING AN ELLIPSOID

Jamie Heather, Compac Technologies, New Zealand

ELI-P4.4—A PRACTICAL ALGORITHM FOR AUTOMATIC CHESSBOARD CORNER DETECTION

Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang, University of Science and Technology of China, P.R. China

ELI-P4.5—OMNIDIRECTIONAL CAMERA CALIBRATION FROM A LOW-RANK TEXTURED IMAGE

Ying Lin, State Grid Shandong Electric Power Research Institute, P.R. China; Baisheng Lai, Xiaojin Gong, Zhejiang University, P.R. China

ELI-P4.6—CALIBRATION OF DEPTH CAMERAS USING DENOISED DEPTH IMAGES

Ramanpreet Pahwa, Minh Do, University of Illinois at Urbana-Champaign, Singapore; Tian Tsong Ng, Institute for Infocomm Research, A*STAR, Singapore; Binh-Son Hua, National University of Singapore, Singapore

ELI-P4.7—CROSSTALK MODELING IN CIRCULARLY POLARIZED STEREOSCOPIC LCDS

Menglin Zeng, Haleh Azartash, Truong Nguyen, University of California, San Diego, USA

ELI-P4.8—EFFECT OF EYE DOMINANCE ON THE PERCEPTION OF STEREOSCOPIC 3D VIDEO

Amin Banitalebi-Dehkordi, University of British Columbia, Canada; Mahsa T. Pourazad, TELUS Communications Company, Canada; Panos Nasiopoulos, University of British Columbia, Canada

ELI-P4.9—MASTERCAM FVV: ROBUST REGISTRATION OF MULTIVIEW SPORTS VIDEO TO A STATIC HIGH-RESOLUTION MASTER CAMERA FOR FREE VIEWPOINT VIDEO

Florian Angehrn, ETH Zurich, Switzerland; Oliver Wang, Disney Research Zurich, Switzerland; Yagiz Aksoy, ETH Zurich & Disney Research Zurich, Switzerland; Markus Gross, ETH Zurich, Switzerland; Aljosa Smolic, Disney Research Zurich, Switzerland

ELI-P4.10—AUTO-RECTIFICATION OF USER PHOTOS

Krishnendu Chaudhury, Stephen DiVerdi, Sergey Ioffe, Google, USA

ELI-P4.11—QUALITY ASSESSMENT OF PERCEPTUAL CROSSTALK IN AUTOSTEREOSCOPIC DISPLAY

Jongyoo Kim, Kim Taewan, Sanghoon Lee, Yonsei University, Korea

ELI-P4.12—IMAGE REGISTRATION FOR QUALITY ASSESSMENT OF PROJECTION DISPLAYS

Ping Zhao, Marius Pedersen, Jon Hardeberg, Gjøvik University College, Norway; Jean-Baptiste Thomas, Université de Bourgogne, France

ELI-P4.13—HYBRID 3D FEATURE DESCRIPTION AND MATCHING FOR MULTI-MODAL DATA REGISTRATION

Hansung Kim, Adrian Hilton, University of Surrey, United Kingdom

ELI-P4.14—TOWARDS DYNAMIC RESOURCE OPTIMIZATION FOR CLOUD-BASED FREE VIEWPOINT VIDEO SERVICE

Xiaoming Nan, Yifeng He, Ling Guan, Ryerson University, Canada

ELI-P5: Depth and Disparity Estimation

ELI-P5.1—MONOCULAR 3D STRUCTURE ESTIMATION FOR URBAN SCENES

Mohamad Motasem Nawaf, Alain Trémeau, University Jean Monnet, France

ELI-P5.2—EDGE GUIDED SINGLE DEPTH IMAGE SUPER RESOLUTION

Jun Xie, University of Washington, USA; Rogerio Feris, IBM, Watson Research Center, USA; Ming-Ting Sun, University of Washington, USA

ELI-P5.3—DEPTH IMAGES SUPER-RESOLUTION: AN ITERATIVE APPROACH

Alessandro Vianello, Francesco Michielin, Giancarlo Calvagno, University of Padova, Italy; Piergiorgio Sartor, Oliver Erdler, Sony Deutschland GmbH, Germany

ELI-P5.4—POST-AGGREGATION STEREO MATCHING METHOD USING DEMPSTER-SHAFER THEORY

Fan Wang, Alina Miron, Samia Ainouz-Zemouche, Abdelaziz Bensrhair, INSA de Rouen, France

ELI-P5.5—ADAPTIVE STEREO MATCHING VIA LOOP-ERASED RANDOM WALK

Xuejiao Bai, Xuan Luo, Shuo Li, Hongtao Lu, Shanghai Jiao Tong University, P.R. China

ELI-P5.6—COARSE-TO-FINE STRATEGY FOR EFFICIENT COST-VOLUME FILTERING

Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan

ELI-P5.7—TEMPORAL AND COLOR CONSISTENT DISPARITY ESTIMATION IN STEREO VIDEOS

Nicholas Vretos, Petros Daras, Centre for Research and Technology Hellas, Greece

ELI-P5.8—DATA-DRIVEN SINGLE IMAGE DEPTH ESTIMATION USING WEIGHTED MEDIAN STATISTICS

Youngjung Kim, Sunghwan Choi, Kwang Hoon Sohn, Yonsei University, Korea

ELI-P5.9—DEPTH MAP PROPAGATION WITH THE TEXTURE IMAGE GUIDANCE

Ji-an Zhang, Zhebin Zhang, Peking University, P.R. China

ELI-P5.10—3D CURVATURE ANALYSIS WITH A NOVEL ONE-SHOT TECHNIQUE

Matías Di Martino, Alicia Fernández, José Ferrari, Universidad de la República, Uruguay

ELI-P5.11—REVISITING GUIDED IMAGE FILTER BASED STEREO MATCHING AND SCANLINE OPTIMIZATION FOR IMPROVED DISPARITY ESTIMATION

Georgios Kordelas, Dimitrios Alexiadis, Informatics & Telematics Institute, Greece; Petros Daras, Centre for Research and Technology Hellas, Greece; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

ELI-P5.12—A FAST NON-LOCAL DISPARITY REFINEMENT METHOD FOR STEREO MATCHING

Xiaoming Huang, Vimicro Corporation, P.R. China; Guoqin Cui, Yundong Zhang, State Key Laboratory of Digital Multi-media Chip Technology & Vimicro Corporation, P.R. China

ELI-P5.13—GROUP SEARCHING AND PROPORTION COMBINATION BASED DISPARITY VECTOR DERIVATION FOR 3D-HEVC

Zuo-cheng Zhou, Ke-bin Jia, Beijing University of Technology, P.R. China

ELI-P5.14—DEPTH ENHANCEMENT USING RGB-D GUIDED FILTERING

Tak-Wai Hui, King Ngan, Chinese University of Hong Kong, Hong Kong

ELI-P5.15—SUBSPACE BASED DISPARITY ESTIMATION FOR PLENOPTIC CAMERAS

Gururaj Putraya, Basavaraja Vandrotti, Mithun Uliyar, Nokia, India; Ravi Shenoy, Indian Institute of Science & Nokia, India

ELI-P5.16—PIXEL RESOLUTION PLENOPTIC DISPARITY USING COST AGGREGATION

Mithun Uliyar, Gururaj Putraya, Soumik Ukil, Basavaraja Vandrotti, Krishna Govindarao, Muninder Veldandi, Nokia, India

ELI-P5.17—DEPTH MOTION DETECTION—A NOVEL RS-TRIGGER TEMPORAL LOGIC BASED METHOD

Can Wang, Hong Liu, Liqian Ma, Peking University, P.R. China

ELI-P5.18—DENSE DEPTH MAP GENERATION USING SPARSE DEPTH DATA FROM NORMAL FLOW

Tak-Wai Hui, King Ngan, Chinese University of Hong Kong, Hong Kong

ELI-P5.19—DEPTH ESTIMATION FOR AUTOMOTIVE WITH TILTED OPTICS IMAGING

Hiroshi Ikeoka, Takafumi Murata, Maiki Okuwaki, Takayuki Hamamoto, Tokyo University of Science, Japan

ELI-P5.20—MODEL BASED CLUSTERING FOR 3D DDIRECTIONAL FEATURES: APPLICATION TO DEPTH IMAGE ANALYSIS

Md Abul Hasnat, Olivier Alata, Alain Trémeau, University Jean Monnet, France

TEC-P8: Biomedical Image Processing

TEC-P8.1—A NEW METHOD FOR DATA-DRIVEN MULTI-BRAIN ATLAS GENERATION

Zhuo Sun, Leiden Universitair Medisch Centrum, The Netherlands; Radu Jasinschi, Jan Veerman, Philips Research, The Netherlands

TEC-P8.2—DIRECTED INTERACTIVITY OF LARGE-SCALE BRAIN NETWORKS: INTRODUCING A NEW METHOD FOR ESTIMATING RESTING-STATE EFFECTIVE CONNECTIVITY MRI

Nan Xu, R. Nathan Spreng, Peter Doerschuk, Cornell University, USA

TEC-P8.3—ONE-SIDED TRANSPARENCY: A NOVEL VISUALIZATION FOR TUBULAR OBJECTS

Robert Curtin, Marwa Ismail, Aly Farag, Chuck Sites, University of Louisville, USA; Salwa Elshazly, Kentucky Imaging Technologies, USA; Robert Falk, Jewish Hospital and 3DR, USA

TEC-P8.4—HIDDEN CONDITIONAL RANDOM FIELD FOR LUNG NODULE DETECTION

Yang Liu, Zhongqiu Wang, Maozu Guo, Harbin Institute of Technology, P.R. China; Ping Li, Harbin Medical University, P.R. China

TEC-P8.5—MULTIPLE-MODEL BAYESIAN APPROACH TO VOLUMETRIC IMAGING OF CARDIAC CURRENT SOURCES

Azar Rahimi Dehaghani, Jingjia Xu, Linwei Wang, Rochester Institute of Technology, USA

TEC-P8.6—IMPROVING DERMOSCOPY IMAGE ANALYSIS USING COLOR CONSTANCY

Ana Barata, Instituto Superior Técnico, Portugal; Jorge Marques, Instituto Superior Técnico & Instituto de Sistemas e Robotica, Portugal; M. Emre Celebi, Louisiana State University in Shreveport, USA

TEC-P8.7—FINDING THE OPTIMAL PARAMETER SETTING FOR AN ENSEMBLE-BASED LESION DETECTOR

János Tóth, László Szakács, Andras Hajdu, University of Debrecen, Hungary

TEC-P8.8—A NOVEL 4D PDE-BASED APPROACH FOR ACCURATE ASSESSMENT OF MYOCARDIUM FUNCTION USING CINE CARDIAC MAGNETIC RESONANCE IMAGES

Hisham Sliman, Ahmed Elnakib, Garth Beache, Ahmed Soliman, Fahmi Khalifa, University of Louisville, USA; Georgy Gimel’farb, University of Auckland, New Zealand; Adel Elmaghraby, Ayman El-Baz, University of Louisville, USA

TEC-P8.9—REGISTERING SEQUENCES OF IN VIVO MICROSCOPY IMAGES FOR CELL TRACKING USING DYNAMIC PROGRAMMING AND MINIMUM SPANNING TREES

Sara McArdle, University of California, San Diego, USA; Scott Acton, University of Virginia, USA; Klaus Ley, La Jolla Institute for Allergy & Immunology, USA; Nilanjan Ray, University of Alberta, Canada

TEC-P8.10—A JOINT SEGMENTATION-REGISTRATION FRAMEWORK BASED ON WEIGHTED TOTAL VARIATION AND NONLINEAR ELASTICITY PRINCIPLES

Solène Ozeré, INSA Rouen, France; Carole Le Guyader, INSA Rouen & Laboratoire de Mathématiques, France

TEC-P8.11—MAMMOGRAM ITERATIVE POMPEIU-HAUSDORFF REGISTRATION ALGORITHM

Stephanie Cunningham, Reza Adhami, University of Alabama in Huntsville, USA

TEC-P8.12—HIERARCHICAL NONRIGID MODEL FOR 3D MEDICAL IMAGE REGISTRATION

Sunyeong Kim, Yu-Wing Tai, Korea Advanced Institute of Science and Technology, Korea

TEC-P8.13—FEATURE-BASED REGISTRATION FOR CORRELATIVE LIGHT AND ELECTRON MICROSCOPY IMAGES

David Nam, Judith Mantell, Lorna Hodgson, David Bull, Paul Verkade, Alin Achim, University of Bristol, United Kingdom

TEC-P8.14—POSITIONING OF ANATOMICAL LANDMARKS IN ORTHOPEDICS BY MESH REGISTRATION

Hector Jacinto, OneFit Medical & INSA-Lyon, France; Razmig Kechichian, Grenoble INP & GIPSA-lab, France; Sébastien Valette, Remy Prost, INSA-Lyon, France

TEC-P8.15—NON RIGID IMAGE REGISTRATION BY MODELING DEFORMATIONS AS ELASTIC WAVES

Sahar Ahmad, Muhammad Faisal Khan, National University of Sciences and Technology (NUST), Pakistan

TEC-P8.16—HIDDEN MARKOV MODEL-BASED MULTI-MODAL IMAGE FUSION WITH EFFICIENT TRAINING

Renuka Shenoy, Min-Chi Shih, Kenneth Rose, University of California, Santa Barbara, USA

TEC-P8.17—DEMON REGISTRATION FOR 3D IMAGES OBTAINED BY SERIAL BLOCK FACE SCANNING ELECTRON MICROSCOPY

Raphael Thierry, Moritz Kirschmann, Friedrich Miescher Institute for Biomedical Research, Switzerland; Eric Hummel, Carl Zeiss Microscopy, France; Chris Hawes, Oxford Brookes University, United Kingdom; Christel Genoud, Friedrich Miescher Institute for Biomedical Research, Switzerland

TEC-P8.18—INTESTINAL EVENT SEGMENTATION FOR ENDOLUMINAL VIDEO ANALYSIS

Michal Drozdzal, Jordi Vitrià, Santi Segui, Universitat de Barcelona, Spain; Carolina Malagelada, Fernando Azpiroz, Hospital vall d’Hebron, Spain; Petia Radeva, Universitat de Barcelona, Spain

TEC-P8.19—RECONSTRUCTING NEURONAL MORPHOLOGY FROM MICROSCOPY STACKS USING FAST MARCHING

Sreetama Basu, National University of Singapore, Singapore; Daniel Racoceanu, Sorbonne Universités, Singapore

TEC-P8.20—GABOR-BASED NEEDLE DETECTION AND TRACKING IN THREE-DIMENSIONAL ULTRASOUND DATA VOLUMES

Arash Pourtaherian, Sveta Zinger, Peter de With, Hendrikus Korsten, Eindhoven University of Technology, The Netherlands; Nenad Mihajlovic, Philips Research, The Netherlands

TEC-P8.21—AUTOMATED COLORIMETRIC ANALYSIS IN PAPER BASED SENSORS

Sanyam Garg, Ramprasaath Ramasamy Selvaraju, Suman Kapur, MM. Rao Kunda, BITS-Pilani, India

TEC-P8.22—PERFORMANCE OF COMPLEX-VALUED ICA ALGORITHMS FOR FMRI ANALYSIS: IMPORTANCE OF TAKING FULL DIVERSITY INTO ACCOUNT

Wei Du, Gengshen Fu, University of Maryland, Baltimore County, USA; Vince Calhoun, University of New Mexico, USA; Tulay Adali, University of Maryland, Baltimore County, USA

TEC-P8.23—APPLICATIONS OF GAUSSIAN MIXTURE MODELS AND MEAN SQUARE ERROR WITHIN DATSCAN SPECT IMAGING

Abdelbasset Brahim, Javier Ramirez, Juan Górriz Sáez, Laila Khedher, University of Granada, Spain

TEC-P8.24—SHAPE STATISTICS FOR CELL DIVISION DETECTION IN TIME-LAPSE VIDEOS OF EARLY MOUSE EMBRYO

Marcelo Cicconet, Kristin Gunsalus, Davi Geiger, New York University, USA; Michael Werman, Hebrew University of Jerusalem, Israel

TEC-P8.25—AN INTEGRATED GEOMETRICAL AND STOCHASTIC APPROACH FOR ACCURATE INFANT BRAIN EXTRACTION

Amir Alansary, University of Louisville, USA; Ahmed Soliman, University of Louisville & Mansoura University, USA; Matthew Nitzken, Fahmi Khalifa, Ahmed Elnakib, Mahmoud Mostapha, Manuel Casanova, Ayman El-Baz, University of Louisville, USA

TEC-P8.26—3-D MESH COMPENSATED WAVELET LIFTING FOR 3-D+T MEDICAL CT DATA

Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler, Christian Herglotz, Andre Kaup, University of Erlangen-Nuremberg, Germany

TEC-P8.27—RECONSTRUCTION WITH ANGULAR COMPENSATION IN RESPIRATORY-GATED CARDIAC SPECT

Wenyuan Qi, Yongyi Yang, Miles Wernick, Illinois Institute of Technology, USA; Hendrik Pretorius, Michael King, University of Massachusetts Medical School, USA

TEC-P8.28—PERFORMANCE ANALYSIS OF THE GAIN CORRECTION IN RADIOGRAPHY IMAGING

Dong Sik Kim, Hankuk University of Foreign Studies, Korea; Eun Kim, Sanggyun Lee, DRTECH Co., Korea

TEC-P8.29—ELLIPSES FROM TRIANGLES

Marcelo Cicconet, Kristin Gunsalus, Davi Geiger, New York University, USA; Michael Werman, Hebrew University of Jerusalem, Israel

TEC-P8.30—REGULARIZED ESTIMATION OF BLOCH-SIEGERT B1+ MAPS IN MRI

Hao Sun, University of Michigan, USA; Will Grissom, Vanderbilt University, USA; Jeff Fessler, University of Michigan, USA

TEC-P8.31—FAST MR IMAGE RECONSTRUCTION WITH ORTHOGONAL WAVELET REGULARIZATION VIA SHIFT-VARIANT SHRINKAGE

Matthew Muckley, Jeff Fessler, University of Michigan, USA

TEC-P9: Super-Resolution

TEC-P9.1—DCT COEFFICIENTS GENERATION MODEL FOR FILM GRAIN NOISE AND ITS APPLICATION IN SUPER-RESOLUTION

Ting Sun, Hong Kong University of Science and Technology, Hong Kong; Luhong Liang, King Hung Chiu, ASTRI, Hong Kong; Pengfei Wan, Oscar Au, Hong Kong University of Science and Technology, Hong Kong

TEC-P9.2—SINGLE IMAGE SUPER-RESOLUTION USING SPARSE REPRESENTATIONS WITH STRUCTURE CONSTRAINTS

Julio Cesar Ferreira, University of Rennes 1 & Federal University of Uberlandia, France; Olivier Le Meur, University of Rennes 1, France; Christine Guillemot, INRIA, France; Eduardo da Silva, Universidade Federal do Rio de Janeiro & COPPE, Brazil; Gilberto Carrijo, Federal University of Uberlândia, Brazil

TEC-P9.3—HIERARCHICAL EXAMPLE-BASED RANGE-IMAGE SUPER-RESOLUTION WITH EDGE-PRESERVATION

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, Indian Institute of Technology Mandi, India

TEC-P9.4—FRAME RATE UP-CONVERSION USING NONPARAMETRIC ESTIMATOR

Roozbeh Dehghannasiri, Texas A&M University, USA; S. M. Reza Soroushmehr, University of Michigan, USA; Shahram Shirani, McMaster University, Canada

TEC-P9.5—EXPLOITING IN-PLANE STRUCTURAL COMPLEXITY FOR SPARSITY BASED IMAGE SUPER-RESOLUTION

Yongqin Zhang, Jiaying Liu, Wei Bai, Zongming Guo, Peking University, P.R. China

TEC-P9.6—NON-ADDITIVE IMPRECISE IMAGE SUPER-RESOLUTION

Fares Graba, Frédéric Comby, Olivier Strauss, LIRMM University Montpellier II, France

TEC-P9.7—ITERATED NEIGHBOR-EMBEDDINGS FOR IMAGE SUPER-RESOLUTION

Mehmet Türkan, Dominique Thoreau, Philippe Guillotel, Technicolor, France

TEC-P9.8—A NOVEL TOTAL VARIATION OPTIMIZATION METHOD AND ITS APPLICATION ON BLIND SUPER-RESOLUTION

Ting Li, Panos Papamichalis, Southern Methodist University, USA

TEC-P9.9—SHEARLET-BASED SPARSE REPRESENTATION FOR SUPER-RESOLUTION IN DIFFUSION WEIGHTED IMAGING (DWI)

Jonathan Tarquino, Universidad Nacional de Colombia, Colombia; Andrea Rueda, Pontificia Universidad Javeriana, Colombia; Eduardo Romero, Universidad Nacional de Colombia, Colombia

TEC-P9.10—CONTENT ADAPTIVE SCREEN IMAGE SCALING

Yao Zhai, University of Science and Technology of China, P.R. China; Qifei Wang, Yan Lu, Shipeng Li, Microsoft Research Asia, P.R. China

TEC-P9.11—MODIFIED NEIGHBOR EMBEDDING-BASED FACE HALLUCINATION USING COUPLED MAPPINGS OF PARTIAL LEAST SQUARES

Yuanhong Hao, Chun Qi, Xi’an Jiaotong University, P.R. China

TEC-P9.12—NEW IMAGE SUPER RESOLUTION BY TEXTURE TRANSFER

Hyun-seung Lee, Samsung Electronics, Korea

TEC-P9.13—COUPLED K-SVD DICTIONARY TRAINING FOR SUPER-RESOLUTION

Jian Xu, Chun Qi, Xi’an Jiaotong University, P.R. China; Zhiguo Chang, Chang’an University, P.R. China

TEC-P9.14—IMAGE AMPLIFICATION BASED ON PIXEL-SPLITTING

Xiangyi Fu, Fei Zhou, Qingmin Liao, Tsinghua University, P.R. China

TEC-P9.15—CONTEXT-ADAPTIVE PANSHARPENING BASED ON BINARY PARTITION TREE SEGMENTATION

Mauro Dalla Mura, Grenoble Institute of Technology, France; Gemine Vivone, Rocco Restaino, University of Salerno, Italy; Jocelyn Chanussot, Grenoble Institute of Technology, France

TEC-P9.16—A CONFIDENCE GROWING MODEL FOR SUPER-RESOLUTION

Sina Lin, Yamaha Corp., Japan; Zengchang Qin, Renjie Liao, Tao Wan, Beihang University, P.R. China

Thursday, October 30

ARS-L9: Image Classification

10:30  ARS-L9.1—ENSEMBLE MARGIN FRAMEWORK FOR IMAGE CLASSIFICATION

Li Guo, Samia Boukir, University of Bordeaux, France

10:50  ARS-L9.2—MULTI-TASK IMAGE CLASSIFICATION VIA COLLABORATIVE, HIERARCHICAL SPIKE-AND-SLAB PRIORS

Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Pennsylvania State University, USA; Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA

11:10  ARS-L9.3—A NOVEL KERNEL COLLABORATIVE REPRESENTATION APPROACH FOR IMAGE CLASSIFICATION

Weiyang Liu, Lijia Lu, Hui Li, Wei Wang, Yuexian Zou, Peking University, P.R. China

11:30  ARS-L9.4—INCREMENTAL LEARNING OF LATENT STRUCTURAL SVM FOR WEAKLY SUPERVISED IMAGE CLASSIFICATION

Thibaut Durand, Nicolas Thome, Matthieu Cord, Sorbonne Universités, France; David Picard, University of Cergy-Pontoise, France

11:50  ARS-L9.5—TISVM: LARGE MARGIN CLASSIFIER FOR MISALIGNED IMAGE CLASSIFICATION

Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China; Jan Allebach, Purdue University, USA

12:10  ARS-L9.6—HOW MANY MORE IMAGES DO WE NEED? PERFORMANCE PREDICTION OF BOOTSTRAPPING FOR IMAGE CLASSIFICATION

Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris, Centre for Research and Technology Hellas, Greece; Josef Kittler, University of Surrey, United Kingdom

BIO-L1: Bio-Inspired Image Processing

10:30  BIO-L1.1—EXAMINING VISUAL SALIENCY PREDICTION IN NATURALISTIC SCENES

Shafin Rahman, Mrigank Rochan, Yang Wang, Neil Bruce, University of Manitoba, Canada

10:50  BIO-L1.2—SPARSE CODING WITH A GLOBAL CONNECTIVITY CONSTRAINT

Rajat Thomas, Netherlands Institute for Neuroscience, The Netherlands; Sarod Yatawatta, ASTRON, The Netherlands; Christian Keysers, Netherlands Institute for Neuroscience, The Netherlands

11:10  BIO-L1.3—A HOPFIELD RECURRENT NEURAL NETWORK TRAINED ON NATURAL IMAGES PERFORMS STATE-OF-THE-ART IMAGE COMPRESSION

Christopher Hillar, University of California, Berkeley & Redwood Center for Theoretical Neuroscience, USA; Ram Mehta, Redwood Center for Theoretical Neuroscience, USA; Kilian Koepsell, University of California, Berkeley & Redwood Center for Theoretical Neuroscience, USA

11:30  BIO-L1.4—IMAGE/VIDEO CODING BASED ON EVOLUTIVE UNIDIRECTIONAL TRANSFORMS

Seishi Takamura, Atsushi Shimizu, NTT, Japan

11:50  BIO-L1.5—COMPARISON OF TEXTURE FEATURES FOR HUMAN EMBRYONIC STEM CELLS WITH BIO-INSPIRED MULTI-CLASS SUPPORT VECTOR MACHINE

Benjamin Guan, Bir Bhanu, Prue Talbot, Sabrina Lin, Nikki Weng, University of California, Riverside, USA

12:10  BIO-L1.6—UNIFORMLY MINIMUM VARIANCE UNBIASED ESTIMATION FOR ASYNCHRONOUS EVENT-BASED CAMERAS

Lionel Fillatre, Marc Antonini, Université de Nice Sophia Antipolis, France

COM-L1: Video Coding

10:30  COM-L1.1—FAST PARTITIONING ALGORITHM FOR HEVC INTRA FRAME CODING USING MACHINE LEARNING

Damian Ruiz, Universitat Politècnica de València, Spain; Velibor Adzic, Florida Atlantic University, USA; Gerardo Fernandez, University of Castilla-La Mancha, Spain; Hari Kalva, Florida Atlantic University, USA; Jose Luis Martinez, Pedro Cuenca, University of Castilla-La Mancha, Spain

10:50  COM-L1.2—A FAST INTRA CODING ALGORITHM FOR HEVC

Yang Wang, Xiaopeng Fan, Liang Zhao, Harbin Institute of Technology, P.R. China; Siwei Ma, Peking University, P.R. China; Debin Zhao, Harbin Institute of Technology, P.R. China; Wen Gao, Peking University, P.R. China

11:10  COM-L1.3—HEVC INTRA CODING OF ULTRA HD VIDEO WITH REDUCED COMPLEXITY

Nicolas Dhollande, bcom, France; Olivier Le Meur, University of Rennes 1, France; Christine Guillemot, INRIA, France

11:30  COM-L1.4—SINGULAR VECTOR DECOMPOSITION BASED ADAPTIVE TRANSFORM FOR MOTION COMPENSATION RESIDUALS

Xiaoran Cao, Yun He, Tsinghua University, P.R. China

11:50  COM-L1.5—CODING OF DISTORTION-CORRECTED FISHEYE VIDEO SEQUENCES USING H.265/HEVC

Andrea Eichenseer, Andre Kaup, University of Erlangen-Nuremberg, Germany

12:10  COM-L1.6—A PRE-FILTERING APPROACH TO EXPLOIT DECOUPLED PREDICTION AND TRANSFORM BLOCK STRUCTURES IN VIDEO CODING

Yue Chen, Kenneth Rose, University of California, Santa Barbara, USA; Jingning Han, Debargha Mukherjee, Google, USA

IFS-L1: Data Hiding

10:30  IFS-L1.1—HYBRID WEIGHTED-STEGO DETECTION USING MACHINE LEARNING

Lionel Fillatre, Muriel Dumontet, Wafa Bel Haj Ali, Marc Antonini, Michel Barlaud, Université de Nice Sophia Antipolis, France

10:50  IFS-L1.2—A NEW COST FUNCTION FOR SPATIAL IMAGE STEGANOGRAPHY

Bin Li, Ming Wang, Jiwu Huang, Shenzhen University, P.R. China; Xiaolong Li, Peking University, P.R. China

11:10  IFS-L1.3—A NEW LOOK AT ML STEP-SIZE ESTIMATION FOR SCALAR COSTA SCHEME DATA HIDING

Gabriel Dominguez-Conde, Pedro Comesaña, Fernando Pérez-González, University of Vigo, Spain

11:30  IFS-L1.4—REVERSIBLE DATA HIDING BASED ON TWO-DIMENSIONAL HISTOGRAM AND GENERALIZED HISTOGRAM SHIFTING

Kazuki Yamato, Kazuma Shinoda, Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan

11:50  IFS-L1.5—GENERALIZATIONS OF THE KUZNETSOV-TSYBAKOV PROBLEM FOR GENERATING IMAGE-LIKE 2D BARCODES

Jaroslaw Duda, Neeraj Gadgil, Khalid Tahboub, Ed Delp, Purdue University, USA

12:10  IFS-L1.6—RECOVERING PLANAR PROJECTIONS OF PRINTED CLUSTERED-DOT HALFTONES

Stephen Pollard, Robert Ulichney, Matthew Gaubatz, Hewlett Packard, United Kingdom

SS18: Behavior Imaging

Session Chair: Severine Dubuisson, Institut des Système Intelligents et de Robotique

10:30  SS18.1—AN AUGMENTED REPRESENTATION OF ACTIVITY IN VIDEO USING SEMANTIC-CONTEXT INFORMATION

Samir Khoualed, University of Clermont, France; Thierry Chateau, Institut Pascal, France; Umberto Castellani, University of Verona, Italy; Chafik Samir, University of Clermont, France

10:50  SS18.2—3D TRAJECTORIES FOR ACTION RECOGNITION

Michal Koperski, Piotr Bilinski, Francois Bremond, INRIA, France

11:10  SS18.3—CONTACTLESS MEASUREMENT OF MUSCLES FATIGUE BY TRACKING FACIAL FEATURE POINTS IN A VIDEO

Ramin Irani, Kamal Nasrollahi, Thomas Moeslund, Aalborg University, Denmark

11:30  SS18.4—AUTOMATED BOBBING AND PHASE ANALYSIS TO MEASURE WALKING ENTRAINMENT TO MUSIC

Adolfo López-Méndez, Fezoo, Spain; Carina Westling, University of Sussex, Brighton, United Kingdom; Rémi Emonet, Laboratoire Hubert Curien, Saint-Étienne, France; Matt Easteal, Brighton & Hove Council, United Kingdom; Lisa Lavia, Noise Abatement Society, Brighton, United Kingdom; Harry Witchel, Brighton and Sussex Medical School, United Kingdom; Jean-Marc Odobez, IDIAP, Switzerland

11:50  SS18.5—AUTOMATIC ANALYSIS OF FACIAL ATTRACTIVENESS FROM VIDEO

Sacide Kalayci, Istanbul Technical University, Turkey; Hazim Ekenel, Karlsruhe Institute of Technology, Germany; Hatice Gunes, Queen Mary University of London, United Kingdom

12:10  SS18.6—CONTINUOUS PREDICTION OF PERCEIVED TRAITS AND SOCIAL DIMENSIONS IN SPACE AND TIME

Oya Celiktutan, Hatice Gunes, Queen Mary University of London, United Kingdom

SS7: Advances in Optimization for Inverse Imaging Problems

Session Chair: Jalal Fadili, CNRS and Greyc, ENSICAEN

10:30  SS7.1—A FORWARD-BACKWARD VIEW OF SOME PRIMAL-DUAL OPTIMIZATION METHODS IN IMAGE RECOVERY

Patrick Combettes, University Paris 6, France; Laurent Condat, University of Grenoble-Alpes, France; Jean-Christophe Pesquet, Université Paris-Est, France; Bang Cong Vu, Istituto Italiano di Tecnologia and MIT, Italy

10:50  SS7.2—ON THE CONVERGENCE RATES OF PROXIMAL SPLITTING ALGORITHMS

Jingwei Liang, Jalal Fadili, Greyc, ENSICAEN, France; Gabriel Peyré, CNRS and Université Paris-Dauphine, France

11:10  SS7.3—THRESHOLDING RULES AND ITERATIVE SHRINKAGE/THRESHOLDING ALGORITHM: A CONVERGENCE STUDY

Matthieu Kowalski, Univ Paris-Sud, France

11:30  SS7.4—PRIMAL-DUAL FIRST ORDER METHODS FOR TOTAL VARIATION IMAGE RESTORATION IN PRESENCE OF POISSON NOISE

Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero, Università di Ferrara, Italy

11:50  SS7.5—PRIMAL-DUAL INTERIOR-POINT OPTIMIZATION BASED ON MAJORIZATION-MINIMIZATION FOR EDGE-PRESERVING SPECTRAL UNMIXING

Maxime Legendre, Saïd Moussaoui, Ecole Centrale de Nantes, France; Emilie Chouzenoux, Université Paris-Est Marne-la-Vallée, France; Jérôme Idier, IRCCyN, France

12:10  SS7.6—HYPERSPECTRAL IMAGE SUPERRESOLUTION: AN EDGE-PRESERVING CONVEX FORMULATION

Miguel Simões, José Bioucas Dias, Luís Almeida, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal; Jocelyn Chanussot, Grenoble Institute of Technology, France

ARS-P12: Segmentation

ARS-P12.1—INCORPORATING TEXTURE INFORMATION INTO REGION-BASED UNSUPERVISED IMAGE SEGMENTATION USING TEXTURAL SUPERPIXELS

Chih-Yu Hsu, Yi-Yu Hsieh, Kuo-Hua Lo, Jen-Hui Chuang, National Chiao Tung University, Taiwan

ARS-P12.2—AUTOMATIC DEFOCUS SPECTRAL MATTING

Hui Zhou, Timo Ahonen, Nokia, USA

ARS-P12.3—IMAGE SEGMENTATION BY IMAGE FORESTING TRANSFORM WITH GEODESIC BAND CONSTRAINTS

Caio Braz, Paulo Miranda, University of São Paulo, Brazil

ARS-P12.4—ON THE IMPLEMENTATION OF THE MULTI-PHASE REGION SEGMENTATION, SOLVING THE HIDDEN PHASE PROBLEM

Vincent Israel-Jost, University Louvain-la-Neuve, Belgium; Jérôme Darbon, University of California Los Angeles, USA; Elsa Angelini, Isabelle Bloch, Télécom ParisTech, France

ARS-P12.5—WATERPIXELS: SUPERPIXELS BASED ON THE WATERSHED TRANSFORMATION

Vaïa Machairas, Decencière Etienne, Thomas Walter, MINES ParisTech, France

ARS-P12.6—UNSUPERVISED TEXTURE SEGMENTATION USING MONOGENIC CURVELETS AND THE POTTS MODEL

Martin Storath, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Andreas Weinmann, Helmholtz Zentrum München, Germany; Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland

ARS-P12.7—RESIDUAL APPROACH ON A HIERARCHICAL SEGMENTATION

Beatriz Marcotegui, MINES ParisTech, France

ARS-P12.8—A MODEL FOR SIMULATING USER INTERACTION IN HIERARCHICAL SEGMENTATION

Bruno Klava, Nina Hirata, University of São Paulo, Brazil

ARS-P12.9—STREAMING HIERARCHICAL VIDEO SEGMENTATION BASED ON AN OBSERVATION SCALE

Kleber Souza, Arnaldo Araújo, Federal University of Minas Gerais, Brazil; Philippe Gosselin, University of Cergy-Pontoise, France; Zenilton Patrocínio, Silvio Guimarães, Federal University of Minas Gerais, Brazil

ARS-P12.10—EIKONAL-BASED VERTICES GROWING AND ITERATIVE SEEDING FOR EFFICIENT GRAPH-BASED SEGMENTATION

Pierre Buyssens, Matthieu Toutain, Abderrahim Elmoataz, Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France

ARS-P12.11—SUPERVISED TEXTURE SEGMENTATION USING 2D LSTM NETWORKS

Wonmin Byeon, Thomas Breuel, Technical University of Kaiserslautern, Germany

ARS-P12.12—ELASTIC BODY SPLINE BASED IMAGE SEGMENTATION

Sachin Meena, Surya Prasath, Kannappan Palaniappan, University of Missouri-Columbia, USA; Guna Seetharaman, Air Force Research Lab, USA

ARS-P12.13—ROBUST INTERACTIVE IMAGE SEGMENTATION VIA ITERATIVE REFINEMENT

Yao Peng, Juyong Zhang, Yancheng Yuan, University of Science and Technology of China, P.R. China; Shuyuan Zhu, University of Electronic Science and Technology of China, P.R. China; Lu Fang, University of Science and Technology of China, P.R. China

ARS-P12.14—STREAMING SPATIO-TEMPORAL VIDEO SEGMENTATION USING GAUSSIAN MIXTURE MODEL

Dibyendu Mukherjee, Jonathan Wu, University of Windsor, Canada

ARS-P12.15—OPTIMAL SPATIAL SCALE FOR LOCAL REGION-BASED ACTIVE CONTOURS

Djamal Boukerroui, Université de Technologie de Compiègne, France

ARS-P12.16—FAST, ROBUST AND OCCLUSION RESILIENT MOTION BASED VIDEO SEGMENTATION

Nikolaos Dimitriou, Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece

ARS-P12.17—IMPROVING SUPERPIXEL-BASED IMAGE SEGMENTATION BY INCORPORATING COLOR COVARIANCE MATRIX MANIFOLDS

Xianbin GU, Jeremiah Deng, Martin Purvis, University of Otago, New Zealand

ARS-P12.18—SCENE SEGMENTATION FROM DEPTH AND COLOR DATA DRIVEN BY SURFACE FITTING

Giampaolo Pagnutti, Pietro Zanuttigh, University of Padova, Italy

ARS-P12.19—UNSUPERVISED CO-SEGMENTATION BASED ON A NEW GLOBAL GMM CONSTRAINT IN MRF

Hongkai Yu, Min Xian, Xiaojun Qi, Utah State University, USA

ARS-P12.20—A NEW APPROACH FOR MULTIPHASE PIECEWISE SMOOTH IMAGE SEGMENTATION

Ying Gu, Wei Xiong, Institute for Infocomm Research, Singapore; Li-Lian Wang, Nanyang Technology University, Singapore; Jierong Cheng, Weimin Huang, Jiayin Zhou, Institute for Infocomm Research, Singapore

ARS-P12.21—MERGING DOMINANT SETS AND DBSCAN FOR ROBUST CLUSTERING AND IMAGE SEGMENTATION

Jian Hou, Chunshi Sha, Lei Chi, Bohai University, P.R. China; Qi Xia, Naiming Qi, Harbin Institute of Technology, P.R. China

ARS-P12.22—BLURRED IMAGE REGION DETECTION AND SEGMENTATION

Hyukzae Lee, Changick Kim, Korea Advanced Institute of Science and Technology, Korea

ARS-P12.23—FLOODING BASED SUPERPIXELS GENERATION WITH COLOR, COMPACTNESS AND SMOOTHNESS CONSTRAINTS

Xiao Pan, Yuanfeng Zhou, Caiming Zhang, Qian Liu, Shandong University, P.R. China

ARS-P12.24—LEARNING SUPERPIXEL RELATIONS FOR SUPERVISED IMAGE SEGMENTATION

Marco Manfredi, Costantino Grana, Rita Cucchiara, Università degli Studi di Modena e Reggio Emilia, Italy

ARS-P12.25—IMAGE EDITING USING LEVEL SET TREES

Anastasia Dubrovina, Rom Hershkovitz, Ron Kimmel, Technion, Israel

ARS-P12.26—A SCANNING ELECTRON MICROSCOPE IMAGE SEGMENTATION METHOD FOR STEAM GENERATOR FOULING RATE ESTIMATION

Vincent Le Guen, Nicolas Paul, EDF R&D, France

ARS-P12.27—AGGLOMERATIVE CLUSTERING FOR FEATURE POINT GROUPING

Maria Scalzo, Syracuse University & AFRL Information Directorate, USA; Senem Velipasalar, Syracuse University, USA

ARS-P12.28—JACCARD INDEX COMPENSATION FOR OBJECT SEGMENTATION EVALUATION

Ran Shi, King Ngan, Songnan Li, Chinese University of Hong Kong, Hong Kong

ARS-P12.29—MORPHOLOGICAL FLOODINGS AND OPTIMAL CUTS IN HIERARCHIES

Jean Cousty, Laurent Najman, Université Paris-Est, France

ARS-P12.30—COLOR-BASED SKIN SEGMENTATION: AN EVALUATION OF THE STATE OF THE ART

Frerk Saxen, Ayoub Al-Hamadi, Otto von Guericke University Magdeburg, Germany

ARS-P13: Synthesis and Rendering

ARS-P13.1—EXPRESSIVE FACIAL ANIMATION FROM VIDEOS

Changwei Luo, University of Science and Technology of China, P.R. China; Chen Jiang, Chinese Academy of Sciences, P.R. China; Jun Yu, Zengfu Wang, University of Science and Technology of China, P.R. China

ARS-P13.2—A SMARTER EXEMPLAR-BASED INPAINTING ALGORITHM USING LOCAL AND GLOBAL HEURISTICS FOR MORE GEOMETRIC COHERENCE

Maxime Daisy, Pierre Buyssens, David Tschumperlé, Olivier Lezoray, Université de Caen Basse-Normandie & Greyc UMR CNRS 6072, France

ARS-P13.3—RELIGHTING FROM MULTIPLE COLOR AND DEPTH IMAGES USING MATRIX FACTORIZATION

Siying Liu, University of Illinois at Urbana-Champaign & A*STAR Singapore, USA; Minh Do, University of Illinois at Urbana-Champaign, USA

ARS-P13.4—LONG SCENE PANORAMA GENERATION FOR INDOOR ENVIRONMENT

Jie Hu, State University of New York at Buffalo, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA; Chang Wen Chen, State University of New York at Buffalo, USA

ARS-P13.5—GABOR-BASED COVARIANCE MATRICES FOR FACE SKETCH SYNTHESIS

Jian Guan, Ruimin Hu, Junjun Jiang, Zhen Han, Wuhan University, P.R. China

ARS-P13.6—A FRAMEWORK OF CHANGING IMAGE EMOTION USING EMOTION PREDICTION

Kuan-Chuan Peng, Kolbeinn Karlsson, Tsuhan Chen, Cornell University, USA; Dongqing Zhang, Heather Yu, Huawei Research, USA

ARS-P13.7—EXAMPLE-BASED MOTION MANIPULATION

Pin-Ching Su, Hwann-Tzong Chen, Chia-Ming Cheng, National Tsing Hua University, Taiwan

ARS-P13.8—COLORBRUSH: ANIMATED DIFFUSION FOR INTUITIVE COLORIZATION SIMULATING WATER PAINTING

Nicolas Maerki, ETH Zurich, Switzerland; Oliver Wang, Disney Research Zurich, Switzerland; Markus Gross, ETH Zurich, Switzerland; Aljosa Smolic, Disney Research Zurich, Switzerland

ARS-P13.9—2D+T AUTOREGRESSIVE FRAMEWORK FOR VIDEO TEXTURE COMPLETION

Fabien Racape, Dimitar Doshkov, Martin Köppel, Fraunhofer Institut for Telecomunications, Heinrich-Hertz-Institut, Germany; Patrick Ndjiki-Nya, Fraunhofer-Gesellschaft, Germany

ARS-P13.10—RANDOMIZED TEXTURE FLOW ESTIMATION USING VISUAL SIMILARITY

Sunghwan Choi, Yonsei University, Korea; Dongbo Min, Advanced Digital Sciences Center, Singapore; Kwang Hoon Sohn, Yonsei University, Korea

ARS-P13.11—LOCALLY GAUSSIAN EXEMPLAR BASED TEXTURE SYNTHESIS

Lara Raad, Agnès Desolneux, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

ARS-P13.12—OPTIMAL UV SPACES FOR FACIAL MORPHABLE MODEL CONSTRUCTION

James Booth, Imperial College London & Great Ormond Street Hospital, United Kingdom; Stefanos Zafeiriou, Imperial College London, United Kingdom

ARS-P13.13—ALIASING-FREE SIMPLIFICATION OF SURFACE MESHES

Jean-Luc Peyrot, Frédéric Payan, Marc Antonini, Université de Nice Sophia Antipolis, France

ARS-P13.14—MESH-FREE SPARSE REPRESENTATION OF MULTIDIMENSIONAL LIDAR DATA

Kristian Damkjer, University of Central Florida & Harris Corporation, USA; Hassan Foroosh, University of Central Florida, USA

ARS-P13.15—SELF-SIMILARITY-BASED IMAGE COLORIZATION

Jiahao Pang, Oscar Au, Hong Kong University of Science and Technology, Hong Kong; Yukihiko Yamashita, Tokyo Institute of Technology, Japan; Yonggen Ling, Yuanfang Guo, Jin Zeng, Hong Kong University of Science and Technology, Hong Kong

ARS-P13.16—AUTOMATIC INPAINTING OF LINEARLY RELATED VIDEO FRAMES

Yudong Xiao, Jinli Suo, Liheng Bian, Lei Zhang, Qionghai Dai, Tsinghua University, P.R. China

ARS-P13.17—JOINT GAZE-CORRECTION AND BEAUTIFICATION OF DIBR-SYNTHESIZED HUMAN FACE VIA DUAL SPARSE CODING

Xianming Liu, Harbin Institute of Technology, P.R. China; Gene Cheung, National Institute of Informatics, Japan; Deming Zhai, Debin Zhao, Harbin Institute of Technology, P.R. China; Hiroshi Sankoh, Sei Naito, KDDI R&D Laboratories, Japan

ARS-P13.18—ROBUST VIRTUAL FRONTAL FACE SYNTHESIS FROM A GIVEN POSE USING REGULARIZED LINEAR REGRESSION

Yuanhong Hao, Chun Qi, Xi’an Jiaotong University, P.R. China

ARS-P14: Boundary and Shape Analysis

ARS-P14.1—OCCLUSION BOUNDARY DETECTION BASED ON MID-LEVEL FIGURE/GROUND ASSIGNMENT FEATURES

Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi, Nippon Telegraph and Telephone Corporation, Japan

ARS-P14.2—GLOBAL SAMPLING OF IMAGE EDGES

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas, University of Ioannina, Greece

ARS-P14.3—TOPOLOGICAL STACKING GRAYSCALE THINNING FOR EDGE DETECTION AND REAL-TIME APPLICATIONS

Diogo Costa, Carlos Mello, Federal University of Pernambuco, Brazil

ARS-P14.4—DIRECTION SELECTIVE VECTOR FIELD CONVOLUTION FOR CONTOUR DETECTION

Andrea Manno-Kovacs, Hungarian Academy of Sciences, Hungary

ARS-P14.5—A SIMPLE AND EFFICIENT ALGORITHM FOR DOT PATTERNS RECONSTRUCTION

Mahmoud Melkemi, Mounir Elbaz, Université Haute Alsace, France

ARS-P14.6—SYMMETRIC POLYNOMIALS FOR 2D SHAPE REPRESENTATION

Renato Negrinho, Pedro Aguiar, Instituto Superior Técnico, Portugal

ARS-P14.7—BIHARMONIC DENSITY ESTIMATE – A SCALE SPACE SIGNATURE FOR DEFORMABLE SURFACES

Anirban Mukhopadhyay, Suchendra Bhandarkar, University of Georgia, USA

ARS-P14.8—AN OPTIMAL ELASTIC PARTIAL SHAPE MATCHING VIA SHAPE GEODESICS

Mayss’aa Merhy, Abdesslam Benzinou, Kamal Nasreddine, Ecole Nationale d’Ingénieurs de Brest, France; Mohamad Khalil, Lebanese University, Lebanon; Ghaleb Faour, National Council for Scientific Research, Lebanon

ARS-P14.9—GEODESICS-BASED STATISTICAL SHAPE ANALYSIS

Michel Abboud, Abdesslam Benzinou, Kamal Nasreddine, Ecole Nationale d’Ingénieurs de Brest, France; Mustapha Jazar, Lebanese University, France

ARS-P14.10—NON-RIGID POINT SET REGISTRATION FOR CHINESE CHARACTERS USING STRUCTURE-GUIDED COHERENT POINT DRIFT

Hao Sun, Zhouhui Lian, Yingmin Tang, Jianguo Xiao, Peking University, P.R. China

ARS-P14.11—A CONTRARIO DETECTION OF GOOD CONTINUATION OF POINTS

Jose Lezama, Ecole Normale Supérieure de Cachan & Universidad de la Republica, France; Rafael Grompone von Gioi, Ecole Normale Supérieure de Cachan, France; Gregory Randall, Universidad de la Republica, Uruguay; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

ARS-P14.12—PROBABILITY DENSITY FUNCTION OF OBJECT CONTOURS USING REGIONAL REGULARIZED STOCHASTIC WATERSHED

Fernando López-Mir, Valery Naranjo, Sandra Morales, Universitat Politècnica de València, Spain; Jesus Angulo, MINES ParisTech, France

ARS-P14.13—SELECTIVE AND ROBUST D-DIMENSIONAL PATH OPERATORS

Francois Cokelaer, IFP Energies Nouvelles, France; Mauro Dalla Mura, Grenoble Institute of Technology, France; Hugues Talbot, Universite Paris-East, France; Jocelyn Chanussot, Grenoble Institute of Technology, France

SMR-P3: Statistical Models

SMR-P3.1—A NON-PARAMETRIC APPROACH FOR THE ESTIMATION OF INTENSITY-FREQUENCY DEPENDENT NOISE

Miguel Colom, Universitat de les Illes Balears, Spain; Marc Lebrun, Ecole Normale Supérieure de Cachan, France; Antoni Buades, Universitat de les Illes Balears, Spain; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

SMR-P3.2—NON-STATIONARY TEXTURE SYNTHESIS FROM RANDOM FIELD MODELING

Abdourrahmane Atto, Zhangyun Tan, University of Savoie, France; Olivier Alata, University Jean Monnet, France; Maxime Moreaud, IFP Energies Nouvelles, France

SMR-P3.3—BAYESIAN TEXTURE AND INSTRUMENT PARAMETER ESTIMATION FROM BLURRED AND NOISY IMAGES USING MCMC

Cornelia Vacar, Jean-François Giovannelli, Yannick Berthoumieu, University of Bordeaux, France

SMR-P3.4—HOMOGENEITY CLASSIFICATION FOR SIGNAL-DEPENDENT NOISE ESTIMATION IN IMAGES

Meisam Rakhshanfar, Aishy Amer, Concordia University, Canada

SMR-P3.5—MAXIMUM LIKELIHOOD EXTENSION FOR NON-CIRCULANT DECONVOLUTION

Javier Portilla, Consejo Superior de Investigaciones Científicas (CSIC), Spain

SMR-P3.6—STATISTICAL MODELLING FOR ENHANCED OUTLIER DETECTION

Nicola Piotto, Giovanni Cordara, Huawei Technologies, Germany

SMR-P3.7—STATISTICAL MORPHABLE MODEL FOR THE HUMAN TEETH RESTORATION

Eslam Mostafa, University of Louisville, USA; Shireen Elhabian, Cairo University, Egypt; Aly Abdelrahim, University of Louisville, USA; Salwa Elshazly, Kentucky Imaging Technologies, USA; Aly Farag, University of Louisville, USA

SMR-P3.8—EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES

Mohammad Javad Shafiee, Alexander Wong, University of Waterloo, Canada; Parthipan Siva, Aimetis, Canada; Paul Fieguth, University of Waterloo, Canada

SMR-P3.9—DIGITAL CRADLE REMOVAL IN X-RAY IMAGES OF ART PAINTINGS

Rujie Yin, David Dunson, Duke University, USA; Bruno Cornelis, Vrije Universiteit Brussel, Belgium; Bill Brown, Noelle Ocon, North Carolina Museum of Art, USA; Ingrid Daubechies, Duke University, USA

SMR-P3.10—MODELING CORRELATION BETWEEN MULTI-MODAL CONTINUOUS WORDS FOR PLSA-BASED VIDEO CLASSIFICATION

Cencen Zhong, Zhenjiang Miao, Beijing Jiaotong University, P.R. China

SMR-P3.11—OPTICAL CHARACTER RECOGNITION USING TRANSFER LEARNING DECISION FORESTS

Norberto Goussies, Sebastian Ubalde, Francisco Gómez Fernández, Marta Mejail, Universidad de Buenos Aires, Argentina

SMR-P3.12—STABILITY EVALUATION OF NEURAL AND BAYESIAN CLASSIFIERS: A NEW INSIGHT

Ibtissem Ben Othman, Faouzi Ghorbel, L´Ecole Nationale des Sciences de l´Informatique, Tunisia

SMR-P3.13—ON THE AMPLITUDE AND PHASE COMPUTATION OF THE AM-FM IMAGE MODEL

Chuong Nguyen, Joseph Havlicek, University of Oklahoma, USA

SMR-P3.14—IMAGE SALIENCY DETECTION VIA MULTI-SCALE STATISTICAL NON-REDUNDANCY MODELING

Christian Scharfenberger, Aanchal Jain, Alexander Wong, Paul Fieguth, University of Waterloo, Canada

TEC-P10: Restoration and Enhancement

TEC-P10.1—BLIND ESTIMATION OF PIXEL BRIGHTNESS TRANSFORM

Xing Zhang, Siwei Lyu, State University of New York at Albany, USA

TEC-P10.2—EXPLOITING IMAGE STRUCTURAL SIMILARITY FOR SINGLE IMAGE RAIN REMOVAL

Shao-Hua Sun, Shang-Pu Fan, National Taiwan University, Taiwan; Yu-Chiang Wang, Academia Sinica, Taiwan

TEC-P10.3—COMBINING LONG-RANGE DEPENDENCIES WITH PHASE INFORMATION IN NATURAL STOCHASTIC TEXTURE ENHANCEMENT

Ido Zachevsky, Yehoshua Zeevi, Technion, Israel

TEC-P10.4—UNDERSTANDING IMAGE PRIORS IN BLIND DECONVOLUTION

Filip Šroubek, Václav Šmídl, Jan Kotera, Institute of Information Theory and Automation, Czech Republic

TEC-P10.5—AN INTEGER TONE MAPPING OPERATION FOR HDR IMAGES IN OPENEXR WITH DENORMALIZED NUMBERS

Tatsuya Murofushi, Toshiyuki Dobashi, Tokyo Metropolitan University, Japan; Masahiro Iwahashi, Nagaoka University of Technology, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan

TEC-P10.6—SINGLE IMAGE HAZE REMOVAL USING NOVEL ESTIMATION OF ATMOSPHERIC LIGHT AND TRANSMISSION

Hyungjo Park, Dubok Park, Korea University, Korea; K. Han David, Office of Naval Research, USA; Hanseok Ko, Korea University, Korea

TEC-P10.7—NON-BLIND IMAGE RESTORATION WITH SYMMETRIC GENERALIZED PARETO PRIORS

Xing Mei, State University of New York at Albany, USA; Bao-Gang Hu, Chinese Academy of Sciences, P.R. China; Siwei Lyu, State University of New York at Albany, USA

TEC-P10.8—CONTRAST ENHANCEMENT WITH CHROMATICITY ERROR BOUND

Zhenhao Li, Xiaolin Wu, McMaster University, Canada

TEC-P10.9—A REGIONAL MULTIMODULUS ALGORITHM FOR BLIND IMAGE DECONVOLUTION

Joao Mendes Filho, Maria Miranda, Magno Silva, University of São Paulo, Brazil

TEC-P10.10—GRID WARPING IN TOTAL VARIATION IMAGE ENHANCEMENT METHODS

Andrey Nasonov, Andrey Krylov, Lomonosov Moscow State University, Russia

TEC-P10.11—AN EFFECTIVE IMAGE RESTORATION USING KULLBACK-LEIBLER DIVERGENCE MINIMIZATION

Muhammad Hanif, The Australian National University, Australia; Abd-krim Seghouane, The University of Melbourne, Australia

TEC-P10.12—DEPTH-GUIDED ADAPTIVE CONTRAST ENHANCEMENT USING 2D HISTOGRAMS

Jun-Tae Lee, Chulwoo Lee, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea

TEC-P10.13—IMAGE ENHANCEMENT AND DYNAMIC RANGE COMPRESSION USING NOVEL INTENSITY-SPECIFIC STOCHASTIC RESONANCE-BASED PARAMETRIC IMAGE ENHANCEMENT MODEL

Rajlaxmi Chouhan, Prabir Kumar Biswas, Indian Institute of Technology Kharagpur, India

TEC-P10.14—IMAGE DECONVOLUTION USING TREE-STRUCTURED BAYESIAN GROUP SPARSE MODELING

Ganchi Zhang, Timothy Roberts, Nick Kingsbury, University of Cambridge, United Kingdom

TEC-P10.15—SINGLE IMAGE DEHAZING BASED ON FAST WAVELET TRANSFORM WITH WEIGHTED IMAGE FUSION

Hong Zhang, Xuan Liu, Zhitong Huang, Ji Yuefeng, Beijing University of Posts and Telecommunications, P.R. China

TEC-P10.16—AN ALGORITHM FOR NONCONVEX FUNCTIONAL MINIMIZATION AND APPLICATIONS TO IMAGE RESTORATION

Tomeu Coll, Joan Duran, Catalina Sbert, University of Balearic Islands, Spain

TEC-P10.17—NIGHTTIME HAZE REMOVAL BASED ON A NEW IMAGING MODEL

Jing Zhang, Yang Cao, Zengfu Wang, University of Science and Technology of China, P.R. China

TEC-P10.18—SIMULTANEOUS DEBLUR AND SUPER-RESOLUTION TECHNIQUE FOR VIDEO SEQUENCE CAPTURED BY HAND-HELD VIDEO CAMERA

Yuki Matsushita, Hiroshi Kawasaki, Kagoshima University, Japan; Shintaro Ono, Katsushi Ikeuchi, University of Tokyo, Japan

TEC-P10.19—ARTIFACT REDUCTION OF COMPRESSED VIDEO VIA THREE-DIMENSIONAL ADAPTIVE ESTIMATION OF TRANSFORM COEFFICIENTS

Xinfeng Zhang, Graduate University of Chinese Academy of Sciences, P.R. China; Ruiqin Xiong, Siwei Ma, Wen Gao, Peking University, P.R. China

TEC-P10.20—WHAT IS THE RIGHT CENTER/SURROUND FOR RETINEX?

Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France; Ana Belén Petro, Catalina Sbert, University of Balearic Islands, Spain

TEC-P10.21—A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE

Xueyang Fu, Zhuang Peixian, Yue Huang, Yinghao Liao, Xiamen University, P.R. China; Xiao-Ping Zhang, Ryerson University, Canada; Xinghao Ding, Xiamen University, P.R. China

TEC-P10.22—RESTORATION OF ULTRASOUND IMAGES USING A HIERARCHICAL BAYESIAN MODEL WITH A GENERALIZED GAUSSIAN PRIOR

Ningning Zhao, Adrian Basarab, Denis Kouamé, Jean-Yves Tourneret, University of Toulouse, France

TEC-P10.23—INCOHERENT DICTIONARY LEARNING FOR SPARSE REPRESENTATION BASED IMAGE RESTORATION

Jin Wang, Beijing University of Technology, P.R. China; Jian-Feng Cai, University of Iowa, USA; Yunhui Shi, Baocai Yin, Beijing University of Technology, P.R. China

TEC-P10.24—PHASE IMAGING VIA SPARSE CODING IN THE COMPLEX DOMAIN BASED ON HIGH-ORDER SVD AND NONLOCAL BM3D TECHNIQUES

Vladimir Katkovnik, Karen Egiazarian, Tampere University of Technology, Finland; José Bioucas Dias, Technical University Lisbon / Instituto de Telecomunicacoes Lisbon, Portugal

TEC-P10.25—4DGVF-BASED FILTERING OF VECTOR-VALUED IMAGES

Vincent Jaouen, Paulo Gonzalez, Denis Guilloteau, Université de Tours, France; Irene Buvat, Universidad Católica del Maule, Chile; Clovis Tauber, Université de Tours, France

TEC-P10.26—ADAPTIVE SCALE SELECTION FOR MULTIRESOLUTION DEFOCUS BLUR ESTIMATION

Ali Karaali, Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil

TEC-P10.27—MOTION BLUR KERNEL ESTIMATION USING NOISY INERTIAL DATA

Ruiwen Zhen, Robert Stevenson, University of Notre Dame, USA

TEC-P10.28—ROBUST PAN-SHARPENING VIA COLOR SAMPLES RELOCATION AND EDGE AWARE INTERPOLATION

Min Haeng Lee, Korea Advanced Institute of Science and Technology, Korea; Myung Jin Choi, Korea Aerospace Research Institute, Korea; Yu-Wing Tai, Korea Advanced Institute of Science and Technology, Korea

TEC-P10.29—SPARSITY-DRIVEN RECONSTRUCTION OF $\ELL_\INFTY$-DECODED IMAGES

Yuanman Li, Jiantao Zhou, University of Macau, Macao

ARS-L10: Tracking

14:00  ARS-L10.1—OCCLUSION-AWARE HMM-BASED TRACKING BY LEARNING

Tu?han Marpuç, Aydin Alatan, Middle East Technical University, Turkey

14:20  ARS-L10.2—JOINT SPARSITY-BASED ROBUST VISUAL TRACKING

Behzad Bozorgtabar, University of Canberra, Australia; Roland Göcke, Australian National University & University of Canberra, Australia

14:40  ARS-L10.3—OBJECT TRACKING WITH PART-BASED DISCRIMINATIVE CONTEXT MODELS

Guibo Zhu, Jinqiao Wang, Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, P.R. China

15:00  ARS-L10.4—ROBUST PATCH-BASED TRACKING USING VALID PATCH SELECTION AND FEATURE FUSION UPDATE

Wenbei Mao, Jin Zheng, Bo Li, Beihang University, P.R. China

15:20  ARS-L10.5—TRACKING DEFORMABLE PARTS VIA DYNAMIC CONDITIONAL RANDOM FIELDS

Suofei Zhang, Nanjing University of Posts and Telecommunications, P.R. China; Xu Cheng, Southeast University, P.R. China; Haiyan Guo, Nanjing Agricultural University, P.R. China; Lin Zhou, Zhenyang Wu, Southeast University, P.R. China

15:40  ARS-L10.6—DENSE NON-RIGID VISUAL TRACKING WITH A ROBUST SIMILARITY FUNCTION

Bertrand Delabarre, Université Rennes 1, France; Eric Marchand, IRISA – INRIA Rennes, France

COM-L2: Image Coding

14:00  COM-L2.1—CLOUD-BASED DISTRIBUTED IMAGE CODING

Xiaodan Song, Xidian University, P.R. China; Xiulian Peng, Ji-Zheng Xu, Feng Wu, Microsoft Research Asia, P.R. China

14:20  COM-L2.2—LOSSY IMAGE CODING IN THE PIXEL DOMAIN USING A SPARSE STEERING KERNEL SYNTHESIS APPROACH

Ruben Verhack, Ghent University – iMinds & Technische Universität Berlin, Belgium; Andreas Krutz, quavideo.de, USA; Peter Lambert, Rik Van de Walle, Ghent University – iMinds, Belgium; Thomas Sikora, Technische Universität Berlin, Germany

14:40  COM-L2.3—NON-CAUSAL ENCODING OF PREDICTIVELY CODED SAMPLES

Onur Guleryuz, Amir Said, Sehoon Yea, LG Electronics, USA

15:00  COM-L2.4—IMAGE COMPRESSION BASED ON TASK-SPECIFIC INFORMATION

Lingling Pu, Michael W. Marcellin, Ali Bilgin, Amit Ashok, University of Arizona, USA

15:20  COM-L2.5—COLOUR IMAGE COMPRESSION WITH ANISOTROPIC DIFFUSION

Pascal Peter, Joachim Weickert, Saarland University, Germany

15:40  COM-L2.6—EVALUATION OF CONTEXT MODELS TO CODE WAVELET-TRANSFORMED HYPERSPECTRAL IMAGES

Francesc Auli-Llinas, Pablo Enfedaque, Joan Serra-Sagrista, Universitat Autonoma de Barcelona, Spain; Victor Sanchez, University of Warwick, United Kingdom

SMR-L3: Sparse Representations

14:00  SMR-L3.1—LEARNING A SPARSE DICTIONARY OF VIDEO STRUCTURE FOR ACTIVITY MODELING

Nandita Nayak, Amit Roy-Chowdhury, University of California, Riverside, USA

14:20  SMR-L3.2—LEARNING MULTI-SCALE SPARSE REPRESENTATION FOR VISUAL TRACKING

Zhengjian Kang, Edward Wong, New York University, USA

14:40  SMR-L3.3—HIERARCHICAL IMAGE REPRESENTATION VIA MULTI-LEVEL SPARSE CODING

Keyu Lu, Jian Li, Xiangjing Xiangjing An, Hangen He, National University of Defense Technology, P.R. China

15:00  SMR-L3.4—DALM-SVD: ACCELERATED SPARSE CODING THROUGH SINGULAR VALUE DECOMPOSITION OF THE DICTIONARY

Hugo Goncalves, University of Porto & Carnegie Mellon University, Portugal; Miguel Correia, University of Porto, Portugal; Xin Li, Aswin Sankaranarayanan, Carnegie Mellon University, USA; Vitor Grade Tavares, University of Porto, Portugal

15:20  SMR-L3.5—LDA BASED COMPACT AND DISCRIMINATIVE DICTIONARY LEARNING FOR SPARSE CODING

Jiayong Chen, Xiangmin Xu, Chunmei Qing, Jianxiu Jin, South China University of Technology, P.R. China

15:40  SMR-L3.6—KERNEL TAPERING: A SIMPLE AND EFFECTIVE APPROACH TO SPARSE KERNELS FOR IMAGE PROCESSING

Bin Shen, Zenglin Xu, Jan Allebach, Purdue University, USA

SS1: Variational and Morphological Optimizations: A Tribute to Vicent Caselles

Session Chairs: Philippe Salembier, Universitat Politecnica de Catalunya; Guillermo Sapiro, Duke University; Jean Serra, Université Paris-Est

14:00  SS1.1—PROPERTIES OF MINIMIZERS OF THE TOTAL VARIATION AND OF THE SOLUTIONS OF THE TOTAL VARIATION FLOW

Khalid Jalalzai, Antonin Chambolle, Ecole Polytechnique, France

14:20  SS1.2—SHAPE FROM SILHOUETTE CONSENSUS AND PHOTO-CONSISTENCY

Gloria Haro, Universitat Pompeu Fabra, Spain

14:40  SS1.3—HOMOGRAPHY ESTIMATION USING ONE ELLIPSE CORRESPONDENCE AND MINIMAL ADDITIONAL INFORMATION

Luis Alvarez, Universidad de Las Palmas de Gran Canaria, Spain; Vicent Caselles, Universitat Pompeu Fabra, Spain

15:00  SS1.4—AN ANALYSIS OF SCALE-SPACE SAMPLING IN SIFT

Ives Rey-Otero, Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France; Mauricio Delbracio, Duke University, USA

15:20  SS1.5—ADAPTIVE COLOR TRANSFER WITH RELAXED OPTIMAL TRANSPORT

Julien Rabin, Université de Caen, France; Sira Ferradans, Duke University, USA; Nicolas Papadakis, Université de Bordeaux, France

15:40  SS1.6—ENERGETIC LATTICE FOR OPTIMIZING OVER HIERARCHIES OF PARTITIONS

Jean Serra, Bangalore Kiran, Université Paris-Est, France

SS10: Image Processing for Materials Characterization

Session Chair: Laurent Duval, IFP Energies Nouvelles

14:00  SS10.1—IMAGE PROCESSING FOR MATERIALS CHARACTERIZATION: ISSUES, CHALLENGES AND OPPORTUNITIES

Laurent Duval, Maxime Moreaud, Camille Couprie, IFP Energies Nouvelles, France; Dominique Jeulin, MINES ParisTech, France; Hugues Talbot, Universite Paris-East, France; Jesus Angulo, MINES ParisTech, France

14:20  SS10.2—STRUCTURE TENSOR BASED SYNTHESIS OF DIRECTIONAL TEXTURES FOR VIRTUAL MATERIAL DESIGN

Adib Akl, Charles Yaacoub, Holy-Spirit University of Kaslik, Lebanon; Marc Donias, Jean-Pierre Da Costa, Christian Germain, University of Bordeaux, France

14:40  SS10.3—MORSE THEORY AND PERSISTENT HOMOLOGY FOR TOPOLOGICAL ANALYSIS OF 3D IMAGES OF COMPLEX MATERIALS

Olaf Delgado-Friedrichs, Vanessa Robins, Adrian Sheppard, Australian National University, Australia

15:00  SS10.4—IMAGE PROCESSING IN EXPERIMENTS ON, AND SIMULATIONS OF PLASTIC DEFORMATION OF POLYCRYSTALS

Jonathan Lind, Lawrence Livermore National Lab., USA; Anthony Rollett, Carnegie Mellon University, USA; Reeju Pokharel, Los Alamos National Lab., USA; Christopher Hefferan, RJ Lee Inc., USA; Shiu-Fai Li, Lawrence Livermore National Lab., USA; Ulrich Lienert, DESY, Germany; Robert Suter, Carnegie Mellon University, USA

15:20  SS10.5—PHYSICS OF MRF REGULARIZATION FOR SEGMENTATION OF MATERIALS MICROSTRUCTURE IMAGES

Jeff Simmons, Craig Przybyla, Stephen Bricker, Air Force Research Laboratory, USA; Dae Woo Kim, Mary Comer, Purdue University, USA

15:40  SS10.6—VOLUME-BASED SHAPE ANALYSIS FOR INTERNAL MICROSTRUCTURE OF STEELS

Norio Yamashita, Shin Yoshizawa, Hideo Yokota, RIKEN, Japan

SS15: 3D Data Security

Session Chairs: Adrian Bors, University of York; William Puech, LIRMM

14:00  SS15.1—CRYPTANALYSIS ASPECTS IN 3-D WATERMARKING

Vincent Itier, Université Montpellier 2, France; William Puech, LIRMM, France; Adrian Bors, University of York, United Kingdom

14:20  SS15.2—SPREAD TRANSFORM AND ROUGHNESS-BASED SHAPING TO IMPROVE 3D WATERMARKING BASED ON QUADRATIC PROGRAMMING

Xavier Rolland-Nevière, Gwenaël Doërr, Technicolor R&D, France; Pierre Alliez, INRIA, France

14:40  SS15.3—A STEGANALYTIC ALGORITHM FOR 3D POLYGONAL MESHES

Ying Yang, Ruggero Pintus, Holly Rushmeier, Yale University, USA; Ioannis Ivrissimtzis, Durham University, United Kingdom

15:00  SS15.4—IMPACT OF GEOMETRY-PRESERVING ENCRYPTION ON RENDERING TIME

Marc Éluard, Yves Maetz, Gwenaël Doërr, Technicolor R&D, France

15:20  SS15.5—E3D-D2D: EMBEDDING IN 3D, DETECTION IN 2D THROUGH PROJECTIVE INVARIANTS

Yagiz Yasaroglu, Middle East Technical University & Mobilus Ltd., Turkey; Aydin Alatan, Middle East Technical University, Turkey

15:40  SS15.6—3D CONTENT FINGERPRINTING

Sachin Mehta, AMD India Pvt. Limited, India; Balakrishnan Prabhakaran, University of Texas at Dallas, USA

ARS-P15: Biometric Analysis

ARS-P15.1—LATENT FINGERPRINT PERSISTENCE: A NEW TEMPORAL FEATURE SPACE FOR FORENSIC TRACE EVIDENCE ANALYSIS

Ronny Merkel, Jana Dittmann, Mario Hildebrandt, Otto von Guericke University Magdeburg, Germany

ARS-P15.2—GENERAL PURPOSE BIVARIATE QUALITY-METRICS FOR FINGERPRINT-IMAGE ASSESSMENT REVISITED

Jutta Hämmerle-Uhl, Michael Pober, Andreas Uhl, University of Salzburg, Austria

ARS-P15.3—IMPROVING PORE EXTRACTION IN HIGH RESOLUTION FINGERPRINT IMAGES USING SPATIAL ANALYSIS

Raoni Teixeira, Neucimar Leite, University of Campinas, Brazil

ARS-P15.4—MATCHING HETEROGENEOUS PERIOCULAR REGIONS: SHORT AND LONG STANDOFF DISTANCES

Zhicheng Cao, Natalia Schmid, West Virginia University, USA

ARS-P15.5—AUTOMATIC CLOTHES SEGMENTATION FOR SOFT BIOMETRICS

David Freire-Obregón, Modesto Castrillón-Santana, Enrique Ramón-Balmaseda, Javier Lorenzo-Navarro, University of Las Palmas de Gran Canaria, Spain

ARS-P15.6—PERIOCULAR RECOGNITION BASED ON GABOR AND PARZEN PNN

Akanksha Joshi, Abhishek Gangwar, Renu Sharma, Ashutosh Singh, Zia Saquib, Centre for Development of Advanced Computing, India

ARS-P15.7—BIOMETRICS ON VISUAL PREFERENCES: A “PUMP AND DISTILL” REGRESSION APPROACH

Cristina Segalin, University of Verona, Italy; Alessandro Perina, Istituto Italiano di Tecnologia, Italy; Marco Cristani, University of Verona & Istituto Italiano di Tecnologia, Italy

ARS-P15.8—BEST REGIONS FOR PERIOCULAR RECOGNITION WITH NIR AND VISIBLE IMAGES

Fernando Alonso Fernandez, Josef Bigun, Halmstad University, Sweden

ARS-P15.9—MINIMIZING THE IMPACT OF SPOOF FABRICATION MATERIAL ON FINGERPRINT LIVENESS DETECTOR

Ajita Rattani, Arun Ross, Michigan State University, USA

ARS-P15.10—MATCHING FACE AGAINST IRIS IMAGES USING PERIOCULAR INFORMATION

Raghavender Reddy Jillela, Digital Signal Corporation, USA; Arun Ross, Michigan State University, USA

ARS-P15.11—FINGER-DRAWN PIN AUTHENTICATION ON TOUCH DEVICES

Toan Nguyen, Napa Sae-Bae, Nasir Memon, New York University Polytechnic School of Engineering, USA

ARS-P15.12—ON CROSS SPECTRAL PERIOCULAR RECOGNITION

Anjali Sharma, Shalini Verma, Mayank Vatsa, Richa Singh, IIIT Delhi, India

ARS-P15.13—LEAP SIGNATURE RECOGNITION USING HOOF AND HOT FEATURES

Ishan Nigam, Netaji Subhas Institute of Technology, India; Mayank Vatsa, Richa Singh, IIIT Delhi, India

ARS-P15.14—LEVERAGING APPEARANCE AND GEOMETRY FOR KINSHIP VERIFICATION

Xiaolong Wang, Chandra Kambhamettu, University of Delaware, USA

ARS-P15.15—FINGERPRINT-PKI AUTHENTICATION USING ZERNIKE MOMENTS

Han-Ul Jang, Dai-Kyung Hyun, Dae-Jin Jung, Heung-Kyu Lee, Korea Advanced Institute of Science and Technology, Korea

ARS-P16: Classification

ARS-P16.1—MULTI-STAGE OBJECT CLASSIFICATION FEATURING CONFIDENCE ANALYSIS OF CLASSIFIER AND INCLINED LOCAL NAIVE BAYES NEAREST NEIGHBOR

Takaki Maeda, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan

ARS-P16.2—A META ALGORITHM FOR CLASSIFICATION BY FEATURE NOMINATION

Rituparna Sarkar, Kevin Skadron, Scott Acton, University of Virginia, USA

ARS-P16.3—MULTIMODAL SPARSE REPRESENTATION CLASSIFICATION WITH FISHER DISCRIMINATIVE SAMPLE REDUCTION

Soheil Shafiee, Farhad Kamangar, Vassilis Athitsos, Junzhou Huang, Laleh Shikh Gholamhosseinghandehari, University of Texas at Arlington, USA

ARS-P16.4—FUSING WELL-CRAFTED FEATURE DESCRIPTORS FOR EFFICIENT FINE-GRAINED CLASSIFICATION

Andrea Mattos, IBM Research, Brazil; Rogerio Feris, IBM, Watson Research Center, USA

ARS-P16.5—3D OBJECT CLASSIFICATION IN BAGGAGE COMPUTED TOMOGRAPHY IMAGERY USING RANDOMISED CLUSTERING FORESTS

Andre Mouton, Imperial College & Cranfield University, United Kingdom; Toby Breckon, Durham University, United Kingdom; Greg Flitton, Najla Megherbi, Cranfield University, United Kingdom

ARS-P16.6—ANALYSIS SPARSE CODING MODELS FOR IMAGE-BASED CLASSIFICATION

Sumit Shekhar, Vishal Patel, Rama Chellappa, University of Maryland, College Park, USA

ARS-P16.7—CLASSIFYING FOOD IMAGES REPRESENTED AS BAG OF TEXTONS

Giovanni Farinella, Marco Moltisanti, Sebastiano Battiato, University of Catania, Italy

ARS-P16.8—ATTRIBUTE PREDICTION WITH LONG-RANGE INTERACTIONS VIA PATH CODING

Zhuhao Wang, Fei Wu, Zhejiang University, P.R. China; Yahong Han, Tianjin University, P.R. China; Jiebo Luo, University of Rochester, USA; Qi Tian, University of Texas at San Antonio, USA; Yueting Zhuang, Zhejiang University, P.R. China

ARS-P16.9—STRUCTURE-CONSTRAINED LOW-RANK AND PARTIAL SPARSE REPRESENTATION FOR IMAGE CLASSIFICATION

Yang Liu, Haixu Liu, Chenyu Liu, Xueming Li, Beijing University of Posts and Telecommunications, P.R. China

ARS-P16.10—MULTI-LABEL ACTIVE LEARNING FOR IMAGE CLASSIFICATION

Jian Wu, Soochow University, P.R. China; Victor S. Sheng, University of Central Arkansas, USA; Jing Zhang, Hefei University of Technology, P.R. China; Pengpeng Zhao, Zhiming Cui, Soochow University, P.R. China

ARS-P16.11—RECOGNIZING LIVE FISH SPECIES BY HIERARCHICAL PARTIAL CLASSIFICATION BASED ON THE EXPONENTIAL BENEFIT

Meng-Che Chuang, Jenq-Neng Hwang, Fang-Fei Kuo, University of Washington, USA; Man-Kwan Shan, National Chengchi University, Taiwan; Kresimir Williams, National Oceanic and Atmospheric Administration, USA

ARS-P16.12—DOG BREED CLASSIFICATION VIA LANDMARKS

Xiaolong Wang, Vincent Ly, Scott Sorensen, Chandra Kambhamettu, University of Delaware, USA

ARS-P16.13—JEFFREYS CENTROIDS: A CLOSED-FORM EXPRESSION FOR POSITIVE HISTOGRAMS AND A GUARANTEED TIGHT APPROXIMATION FOR FREQUENCY HISTOGRAMS

Frank Nielsen, Sony Labs., Japan

ARS-P16.14—LOCALITY PRESERVING DISCRIMINATIVE DICTIONARY LEARNING

Siavash Haghiri, Hamid Rabiee, Ali Soltani-Farani, Seyyed Abbas Hosseini, Maryam Shadloo, Sharif University of Technology, Iran

ARS-P16.15—NEW CASCADE MODEL FOR HIERARCHICAL JOINT CLASSIFICATION OF MULTITEMPORAL, MULTIRESOLUTION AND MULTISENSOR REMOTE SENSING DATA

Ihsen Hedhli, Gabriele Moser, University of Genoa, Italy; Josiane Zerubia, INRIA, Sophia Antipolis, France; Sebastiano Serpico, University of Genoa, Italy

ARS-P16.16—AGGREGATING CONTOUR FRAGMENTS FOR SHAPE CLASSIFICATION

Song Bai, Xinggang Wang, Xiang Bai, Huazhong University of Science and Technology, P.R. China

ARS-P16.17—A ROTATION-INVARIANT BAG OF VISUAL WORDS MODEL FOR SYMBOLS BASED ANCIENT COIN CLASSIFICATION

Hafeez Anwar, Sebastian Zambanini, Martin Kampel, Vienna University of Technology, Austria

ARS-P16.18—TASK-DRIVEN DICTIONARY LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION WITH STRUCTURED SPARSITY PRIORS

Xiaoxia Sun, Johns Hopkins University, USA; Nasser Nasrabadi, US Army Research Laboratory, USA; Trac Tran, Johns Hopkins University, USA

ARS-P16.19—SCALING UP DISCRETE DISTRIBUTION CLUSTERING USING ADMM

Jianbo Ye, Jia Li, The Pennsylvania State University, USA

ARS-P16.20—DEGREE OF LOOP ASSESSMENT IN MICROVIDEO

Shumpei Sano, Toshihiko Yamasaki, Kiyoharu Aizawa, University of Tokyo, Japan

ARS-P16.21—SEQUENTIAL LABELING WITH STRUCTURAL SVM UNDER THE F1 LOSS

Guopeng Zhang, Massimo Piccardi, University of Technology, Sydney, Australia

ARS-P16.22—FACE, GENDER AND RACE CLASSIFICATION USING MULTI-REGULARIZED FEATURES LEARNING

Mohamed Anouar Borgi, Maher El ‘Arbi, University of Sfax, Tunisia; Demetrio Labate, University of Houston, USA; Chokri Ben Amar, University of Sfax, Tunisia

ARS-P16.23—ROBUST NONNEGATIVE MATRIX FACTORIZATION VIA $L_1$ NORM REGULARIZATION BY MULTIPLICATIVE UPDATING RULES

Bin Shen, Purdue University, USA; Baodi Liu, China University of Petroleum, P.R. China; Qifan Wang, Purdue University, USA; Rongrong Ji, Xiamen University, P.R. China

COI-P1: Infrared, Multispectral, and Hyperspectral Imaging

COI-P1.1—MRF AND DEMPSTER-SHAFER THEORY FOR SIMULTANEOUS SHADOW/VEGETATION DETECTION ON HIGH RESOLUTION AERIAL COLOR IMAGES

Tran Thanh Ngo, Christophe Collet, Vincent Mazet, University of Strasbourg, France

COI-P1.2—A COMPRESSED SENSING-BASED PAN-SHARPENING USING JOINT DATA FIDELITY AND BLIND BLURRING KERNEL ESTIMATION

Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang, Xiamen University, P.R. China

COI-P1.3—HYPERSPECTRAL IMAGE CLASSIFICATION WITH MULTIPLE KERNEL BOOSTING ALGORITHM

Yuting Wang, Yanfeng Gu, Guoming Gao, Qingwang Wang, Harbin Institute of Technology, P.R. China

COI-P1.4—LINEAR DISCRIMINANT MULTIPLE KERNEL LEARNING FOR MULTISPECTRAL IMAGE CLASSIFICATION

Yanfeng Gu, Qingwang Wang, Pigang Liu, Harbin Institute of Technology, P.R. China; Deshan Zuo, Beijing Institute of Remote Sensing Information, P.R. China

COI-P1.5—A UNIFIED FRAMEWORK FOR LAND-COVER DATABASE UPDATE AND ENRICHMENT USING SATELLITE IMAGERY

Adrien Gressin, Université Paris-Est, France; Nicole Vincent, Université Paris 5, France; Clement Mallet, Nicolas Paparoditis, Université Paris-Est, France

COI-P1.6—CONTEXT DEPENDENT HYPERSPECTRAL SUBPIXEL TARGET DETECTION

Hamdi Jenzri, Hichem Frigui, University of Louisville, USA; Paul Gader, University of Florida, USA

COI-P1.7—USING ENSEMBLE MARGIN TO EXPLORE ISSUES OF TRAINING DATA IMBALANCE AND MISLABELING ON LARGE AREA LAND COVER CLASSIFICATION

Andrew Mellor, Royal Melbourne Institute of Technology, Australia; Samia Boukir, University of Bordeaux, France; Andrew Haywood, Simon Jones, Royal Melbourne Institute of Technology, Australia

COI-P1.8—URBAN ROAD EXTRACTION VIA GRAPH CUTS BASED PROBABILITY PROPAGATION

Guangliang Cheng, Wang Ying, Yongchao Gong, Feiyun Zhu, Chunhong Pan, Chinese Academy of Sciences, P.R. China

COI-P1.9—BINARY PARTITION TREES-BASED ROBUST ADAPTIVE HYPERSPECTRAL RX ANOMALY DETECTION

Miguel Veganzones, Grenoble Institute of Technology, France; Joana Frontera, Frederic Pascal, Supélec, France; Jean-Philippe Ovarlez, ONERA, France; Jocelyn Chanussot, Grenoble Institute of Technology, France

COI-P1.10—AN END-MEMBER BASED ORDERING RELATION FOR THE MORPHOLOGICAL DESCRIPTION OF HYPERSPECTRAL IMAGES

Erchan Aptoula, Okan University, Turkey; Nicolas Courty, Sébastien Lefèvre, Université de Bretagne-Sud, France

COI-P1.11—SYSTEMATIC STUDY OF COLOR SPACES AND COMPONENTS FOR THE SEGMENTATION OF SKY/CLOUD IMAGES

Soumyabrata Dev, Yee Hui Lee, Nanyang Technological University, Singapore; Stefan Winkler, Advanced Digital Sciences Center (ADSC), Singapore

COI-P1.12—CLUSTER CONSTRAINT BASED SPARSE NMF FOR HYPERSPECTRAL IMAGERY UNMIXING

Xinwei Jiang, Lei Ma, Yiping Yang, Chinese Academy of Sciences, P.R. China

COI-P1.13—IMAGE FUSION USING MULTIVARIATE AND MULTIDIMENSIONAL EMD

Naveed ur Rehman, COMSATS Institute of Information Technology, Pakistan; Muhammad Murtaza Khan, National University of Sciences and Technology, Pakistan; Ishaq Sohaib, Muhammad Jehanzaib, COMSATS Institute of Information Technology, Pakistan; Shoaib Ehsan, Klaus McDonald-Maier, University of Essex, United Kingdom

COI-P1.14—DETECTING NEW CLASSES VIA INFINITE WARPED MIXTURE MODELS FOR HYPERSPECTRAL IMAGE ANALYSIS

Hao Wu, Saurabh Prasad, Tanu Priya, University of Houston, USA

COI-P1.15—ENHANCING HYPERSPECTRAL IMAGE QUALITY USING NONLINEAR PCA

Giorgio Licciardi, Jocelyn Chanussot, Gabriel Vasile, Grenoble Institute of Technology, Italy; Alessandro Piscini, Istituto Nazionale di Geofisica e Vulcanologia, Italy

COI-P1.16—SPECTRAL COMPRESSION OF HYPERSPECTRAL IMAGES BY MEANS OF NONLINEAR PRINCIPAL COMPONENTS ANALYSIS

Giorgio Licciardi, Jocelyn Chanussot, Grenoble Institute of Technology, Italy; Alessandro Piscini, Istituto Nazionale di Geofisica e Vulcanologia, Italy

COI-P1.17—A REAL-TIME, SEMI-AUTOMATIC METHOD FOR DISCRIMINANT TARGET INITIALIZATION IN THERMAL IMAGERY

Emre Tunal?, Sinan Oz, Aselsan, Turkey

COI-P1.18—A PHYSICS-BASED UNMIXING METHOD FOR THERMAL HYPERSPECTRAL IMAGES

Manuel Cubero-Castan, Jocelyn Chanussot, Grenoble Institute of Technology, France; Véronique Achard, Xavier Briottet, ONERA, France; Michal Shimoni, Royal Military Academy, Belgium

COI-P1.19—HIGH-RESOLUTION COMPUTATIONAL SPECTRAL IMAGING WITH PHOTON SIEVES

Figen Oktem, Farzad Kamalabadi, University of Illinois at Urbana-Champaign, USA; Joseph Davila, NASA Goddard Space Flight Center, USA

COI-P1.20—SPATIAL INFORMATION BASED FCM FOR INFRARED SHIP TARGET SEGMENTATION

Xiangzhi Bai, Beijing University of Aeronautics and Astronautics, P.R. China; Zhiguo Chen, Yu Zhang, Zhaoying Liu, Yi Lu, Beihang University, P.R. China

COI-P1.21—COMPRESSIVE DATA FUSION FOR MULTI-SENSOR IMAGE ANALYSIS

Saurabh Prasad, Hao Wu, University of Houston, USA; James Fowler, Mississippi State University, USA

COI-P1.22—CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON DEEP BELIEF NETWORKS

Tong Li, Junping Zhang, Ye Zhang, Harbin Institute of Technology, P.R. China

COI-P1.23—INFRARED HYPERSPECTRAL IMAGING FOR ENHANCED TISSUE VISUALIZATION AND DISCRIMINATION DURING SURGICAL OPERATION

Dorra Nouri, Yves Lucas, Sylvie Treuillet, University of Orleans, France

COI-P1.24—A HARDWARE-FRIENDLY ARCHITECTURE FOR ONBOARD RATE-CONTROLLED PREDICTIVE CODING OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES

Diego Valsesia, Enrico Magli, Politecnico di Torino, Italy

COI-P1.25—BLIND SOURCE SEPARATION BASED ANOMALY DETECTION IN MULTI-SPECTRAL IMAGES

Saima Ben Hadj, Jerome Bobin, CEA, France; Arnaud Woiselle, Sagem Defense Securite, France

COI-P1.26—SEQUENTIAL DECONVOLUTION – UNMIXING OF BLURRED HYPERSPECTRAL DATA

Simon Henrot, Charles Soussen, David Brie, Université de Lorraine, France

COI-P1.27—LOCAL HISTOGRAM BASED CLASSIFICATION OF SAR IMAGES USING SPATIALLY DEPENDENT MIXTURES

Koray Kayabol, Gebze Institute of Technology, Turkey

COI-P1.28—SCENE RECOGNITION BASED ON PHASE GRADIENT INSAR IMAGES

Nazli Cagatay, Mihai Datcu, German Aerospace Center, Germany

COI-P1.29—TAILORING NON-HOMOGENEOUS MARKOV CHAIN WAVELET MODELS FOR HYPERSPECTRAL SIGNATURE CLASSIFICATION

Siwei Feng, Yuki Itoh, Mario Parente, Marco Duarte, University of Massachusetts Amherst, USA

COI-P1.30—MULTI-SPECTRAL DOCUMENT IMAGE BINARIZATION USING IMAGE FUSION AND BACKGROUND SUBTRACTION TECHNIQUES

Nikolaos Mitianoudis, Nikos Papamarkos, Democritus University of Thrace, Greece

ELI-P6: Stereo and Multiview Image Processing

ELI-P6.1—MULTIVIEW IMAGE AND VIDEO INTERPOLATION USING WEIGHTED VECTOR MEDIAN FILTERS

Guilherme Fickel, Claudio Jung, Universidade Federal do Rio Grande do Sul, Brazil; Bowon Lee, Hewlett-Packard Laboratories, USA

ELI-P6.2—A RAO-BLACKWELLIZED MCMC ALGORITHM FOR RECOVERING PIECEWISE PLANAR 3D MODEL FROM MULTIPLE VIEW RGBD IMAGES

Natesh Srinivasan, Frank Dellaert, Georgia Institute of Technology, USA

ELI-P6.3—SPATIO-TEMPORAL MODELING OF VISUAL ATTENTION FOR STEREOSCOPIC 3D VIDEO

Iana Iatsun, Chaker Larabi, Christine Fernandez, Université de Poitiers, France

ELI-P6.4—SPRITE GENERATION FOR HOLE FILLING IN DEPTH IMAGE-BASED RENDERING

Guo-Shiang Lin, Da-Yeh University, Taiwan; Chia-Yung Hsieh, Wen-Nung Lie, National Chung Cheng University, Taiwan

ELI-P6.5—VIEWPOINT INTERPOLATION: DIRECT AND VARIATIONAL METHODS

Sergi Pujades, Frederic Devernay, INRIA, France

ELI-P6.6—A HOMOGRAPHY-BASED INPAINTING ALGORITHM FOR EFFECTIVE DEPTH-IMAGE-BASED RENDERING

Hanqiang Shan, Wei-Da Chien, Hung-Ming Wang, Jar-Ferr Yang, National Cheng Kung University, Taiwan

ELI-P6.7—STEREO RECONSTRUCTION OF SEMIREGULAR MESHES, AND MULTIRESOLUTION ANALYSIS FOR AUTOMATIC DETECTION OF DENTS ON SURFACES

Jean-Luc Peyrot, Frédéric Payan, Natacha Ruchaud, Marc Antonini, Université de Nice Sophia Antipolis, France

ELI-P6.8—UNDERWATER STEREO IMAGE ENHANCEMENT USING A NEW PHYSICAL MODEL

Shijie Zhang, Johns Hopkins University, USA; Jing Zhang, University of Science and Technology of China, P.R. China; Shuai Fang, Hefei University of Technology, P.R. China; Yang Cao, University of Science and Technology of China, P.R. China

ELI-P6.9—STEREO IMAGE DEFOGGING

Yeejin Lee, University of California, San Diego, USA; Kristofor Gibson, Space and Naval Warfare Systems Center Pacific, USA; Zucheul Lee, Truong Nguyen, University of California, San Diego, USA

ELI-P6.10—STEREO VIDEO DERAINING AND DESNOWING BASED ON SPATIOTEMPORAL FRAME WARPING

Jin-Hwan Kim, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea

ELI-P6.11—MULTI-VIEW VIDEO SUPER-RESOLUTION FOR HYBRID CAMERAS USING MODIFIED NLM AND ADAPTIVE THRESHOLDING

Robert Lengyel, McMaster University, Canada; S. M. Reza Soroushmehr, University of Michigan, USA; Shahram Shirani, McMaster University, Canada

ELI-P6.12—ANALYTICAL MODEL FOR CAMERA DISTANCE RELATED 3D VIRTUAL VIEW DISTORTION ESTIMATION

Yijian Xiang, University of Science and Technology of China, P.R. China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore; Juyong Zhang, Lu Fang, University of Science and Technology of China, P.R. China

ELI-P6.13—ON STEREO-RECTIFICATION OF PUSHBROOM IMAGES

Carlo de Franchis, Enric Meinhardt-Llopis, Ecole Normale Supérieure de Cachan, France; Julien Michel, CNES, France; Jean-Michel Morel, Gabriele Facciolo, Ecole Normale Supérieure de Cachan, France

ELI-P6.14—EDGE ENHANCEMENT OF DEPTH BASED RENDERED IMAGES

Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto, Università degli Studi di Torino, Italy

ELI-P6.15—TRANSLATION INVARIANCE-BASED SUPER RESOLUTION METHOD FOR MIXED RESOLUTION MULTIVIEW VIDEO

Zhizhong Fu, University of California, San Diego, USA; Zening Li, Lan Ding, University of Electronic Science and Technology of China, P.R. China; Nguyen Truong, University of California, San Diego, USA

ELI-P6.16—LINEAR VIEW/IMAGE RESTORATION FOR DENSE LIGHT FIELDS

Kazuya Kodama, National Institute of Informatics, Japan; Akira Kubota, Chuo University, Japan

ELI-P6.17—MATERIALITY MAPS: A NOVEL SCENE-BASED FRAMEWORK FOR DIRECT MULTI-VIEW STEREOVISION RECONSTRUCTION

Muhannad Ismael, Stéphanie Prévost, Celine Loscos, Yannick Remion, University of Reims, France

ELI-P6.18—STEREOSCOPIC VIDEO SHOT CLUSTERING INTO SEMANTIC CONCEPTS BASED ON VISUAL AND DISPARITY INFORMATION

Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece

ELI-P6.19—BALANCED OPTICAL FLOW REFINEMENT BY BIDIRECTIONAL CONSTRAINT

Jongwon Choi, Hyeongwoo Kim, Tae-Hyun Oh, In So Kweon, Korea Advanced Institute of Science and Technology, Korea

IFS-P1: Image Forensics

IFS-P1.1—HUE MODIFICATION ESTIMATION USING SENSOR PATTERN NOISE

Jong Uk Hou, Han-Ul Jang, Heung Kyu Lee, Korea Advanced Institute of Science and Technology, Korea

IFS-P1.2—CONTENT BASED IMAGE AUTHENTICATION USING HOG FEATURE DESCRIPTOR

Jinse Shin, University of Siegen, Germany; Dongsung Kim, Soongsil University, Korea; Christoph Ruland, University of Siegen, Germany

IFS-P1.3—IMAGE FORGERY DETECTION THROUGH RESIDUAL-BASED LOCAL DESCRIPTORS AND BLOCK-MATCHING

Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva, Università Federico II di Napoli, Italy

IFS-P1.4—COPY-MOVE FORGERY DETECTION BASED ON PATCHMATCH

Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva, Università Federico II di Napoli, Italy

IFS-P1.5—IMAGE FORGERY LOCALIZATION THROUGH THE FUSION OF CAMERA-BASED, FEATURE-BASED AND PIXEL-BASED TECHNIQUES

Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva, Università Federico II di Napoli, Italy

IFS-P1.6—MULTIPLE PARENTING IDENTIFICATION IN IMAGE PHYLOGENY

Alberto Oliveira, University of Campinas, Brazil; Pasquale Ferrara, Alessia De Rosa, Alessandro Piva, University of Florence, Italy; Mauro Barni, University of Siena, Italy; Siome Goldenstein, Zanoni Dias, Anderson Rocha, University of Campinas, Brazil

IFS-P1.7—ROBUST IMAGE RECAPTURE DETECTION USING A K-SVD LEARNING APPROACH TO TRAIN DICTIONARIES OF EDGE PROFILES

Thirapiroon Thongkamwitoon, Hani Muammar, Pier Luigi Dragotti, Imperial College London, United Kingdom

IFS-P1.8—A BENFORD-FOURIER JPEG COMPRESSION DETECTOR

Cecilia Pasquini, University of Trento, Italy; Fernando Pérez-González, University of Vigo, Spain; Giulia Boato, University of Trento, Italy

IFS-P1.9—REVEALING SYNTHETIC FACIAL ANIMATIONS OF REALISTIC CHARACTERS

Duc-Tien Dang-Nguyen, Giulia Boato, Francesco De Natale, University of Trento, Italy

IFS-P1.10—TOWARDS AUTOMATIC DETECTION OF CHILD PORNOGRAPHY

Napa Sae-Bae, Xiaoxi Sun, New York University Polytechnic School of Engineering, USA; Husrev Sencar, New York University Abu Dhabi, UAE; Nasir Memon, New York University Polytechnic School of Engineering, USA

IFS-P1.11—DETECTABILITY-QUALITY TRADE-OFF IN JPEG COUNTER-FORENSICS

Giuseppe Valenzise, Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, France; Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy

IFS-P1.12—COMPRESSION NOISE BASED VIDEO FORGERY DETECTION

Hareesh Ravi, Subramanyam Av, Gaurav Gupta, Avinash Kumar Boina, Indraprastha Institute of Information Technology, India

IFS-P1.13—WEIGHTED AVERAGING-BASED SENSOR PATTERN NOISE ESTIMATION FOR SOURCE CAMERA IDENTIFICATION

Ashref Lawgaly, Fouad Khelifi, Ahmed Bouridane, Northumbria University at NewCastle, United Kingdom

IFS-P1.14—TWOFOLD VIDEO HASHING WITH AUTOMATIC SYNCHRONIZATION

Mu Li, Vishal Monga, Pennsylvania State University, USA

IFS-P1.15—WHO IS MY PARENT? RECONSTRUCTING VIDEO SEQUENCES FROM PARTIALLY MATCHING SHOTS

Silvia Lameri, Paolo Bestagini, Ambra Melloni, Politecnico di Milano, Italy; Simone Milani, Politecnico di Milano & University of Padova, Italy; Anderson Rocha, University of Campinas, Brazil; Marco Tagliasacchi, Stefano Tubaro, Politecnico di Milano, Italy

IFS-P1.16—ATTACKING THE TRIANGLE TEST IN SENSOR-BASED CAMERA IDENTIFICATION

Francesco Marra, Fabio Roli, University of Cagliari, Italy; Davide Cozzolino, Carlo Sansone, Luisa Verdoliva, Università Federico II di Napoli, Italy

IFS-P1.17—EXPLOITING ROLLING SHUTTER FOR ENF SIGNAL EXTRACTION FROM VIDEO

Hui Su, Adi Hajj-Ahmad, Ravi Garg, Min Wu, University of Maryland, College Park, USA

IFS-P1.18—IDENTIFICATION OF DIGITAL RADIOGRAPHY IMAGE SOURCE BASED ON DIGITAL RADIOGRAPHY PATTERN NOISE RECOGNITION

Yuping Duan, Southeast University, P.R. China; Gouenou Coatrieux, Telecom Bretagne, France; Hua Zhong Shu, Southeast University, P.R. China

IFS-P1.19—IMAGE MODEL AND PRINTED DOCUMENT AUTHENTICATION: A THEORETICAL ANALYSIS

Bao An Mai Hoang, Wadih Sawaya, Telecom Lille, France; Patrick Bas, Ecole Centrale de Lille, France

IFS-P1.20—COUNTERING ANTI-FORENSICS TO WAVELET-BASED COMPRESSION

Meijuan Wang, Zhenyong Chen, Wei Fan, Zhang Xiong, Beihang University, P.R. China

ARS-L11: Facial-Expression Analysis

16:30  ARS-L11.1—DETECTING EMOTIONAL STRESS FROM FACIAL EXPRESSIONS FOR DRIVING SAFETY

Hua Gao, Anil Yuce, Jean-Philippe Thiran, École Polytechnique Fédérale de Lausanne, Switzerland

16:50  ARS-L11.2—REGION-BASED FEATURE FUSION FOR FACIAL-EXPRESSION RECOGNITION

Cigdem Turan, Kin-Man Lam, Hong Kong Polytechnic University, Hong Kong

17:10  ARS-L11.3—ADAPTIVE FEATURE EXTRACTION FOR BLURRED FACE IMAGES IN FACIAL EXPRESSION RECOGNITION

Hyung-Il Kim, Seung-Ho Lee, Yong Man Ro, Korea Advanced Institute of Science and Technology, Korea

17:30  ARS-L11.4—ONLINE FACIAL EXPRESSION RECOGNITION BASED ON COMBINING TEXTURE AND GEOMETRIC INFORMATION

Ching-Hua Weng, Shang-Hong Lai, National Tsing Hua University, Taiwan

17:50  ARS-L11.5—FACIAL EXPRESSION RECOGNITION USING STATISTICAL SUBSPACE

Le Tan Dang Khoa, Hung Truong, Le Thai, Ho Chi Minh City University of Science, Vietnam

ARS-L12: Active Contour Methods

16:30  ARS-L12.1—GLOBAL-TO-LOCAL SHAPE PRIORS FOR VARIATIONAL IMAGE SEGMENTATION

Carsten Last, Simon Winkelbach, Friedrich M. Wahl, Technical University of Braunschweig, Germany

16:50  ARS-L12.2—SEGMENTATION OF SPARSE NOISY POINT CLOUDS USING ACTIVE CONTOUR MODELS

Mahmoud AwadAllah, Lynn Abbott, Sherin Ghannam, Virginia Tech, USA

17:10  ARS-L12.3—STATISTICAL REGION-BASED ACTIVE CONTOUR USING OPTIMIZATION OF ALPHA-DIVERGENCE FAMILY FOR IMAGE SEGMENTATION

Leila Meziou, Aymeric Histace, Cergy-Pontoise University, France; Frederic Precioso, University Nice Sophia Antipolis, France

17:30  ARS-L12.4—NONPARAMETRIC MDL SEGMENTATION OF INHOMOGENEOUS IMAGES BASED ON QUADRATIC LOCAL BINARY FITTING

Siwei Liu, Frederic Galland, Nicolas Bertaux, Aix-Marseille Université, France

17:50  ARS-L12.5—A ROBUST ACTIVE SHAPE MODEL USING AN EXPECTATION-MAXIMIZATION FRAMEWORK

Carlos Santiago, Instituto Superior Tecnico, Portugal; Jacinto Nascimento, Instituto de Sistemas e Robotica, Portugal; Jorge Marques, Instituto Superior Técnico & Instituto de Sistemas e Robotica, Portugal

COM-L3: Image Communications

16:30  COM-L3.1—OVERLAPPING MOTION HINTS WITH POLYNOMIAL MOTION FOR VIDEO COMMUNICATION

Aous Naman, David Taubman, Rui Xu, University of New South Wales, Australia

16:50  COM-L3.2—FAST CHANNEL SWITCHING FOR SINGLE-LOOP SCALABLE HEVC

Glenn Van Wallendael, Nicolas Staelens, Sebastiaan Van Leuven, Jan De Cock, Peter Lambert, Piet Demeester, Rik Van de Walle, Ghent University – iMinds, Belgium

17:10  COM-L3.3—DELAY-RATE-DISTORTION OPTIMIZED RATE CONTROL FOR WIRELESS VIDEO COMMUNICATION

Chenglin Li, Hongkai Xiong, Shanghai Jiao Tong University, P.R. China; Dapeng Oliver Wu, University of Florida, USA

17:30  COM-L3.4—HYBRIDCAST: A WIRELESS IMAGE/VIDEO SOFTCAST SCHEME USING LAYERED REPRESENTATION AND HYBRID DIGITAL-ANALOG MODULATION

Zhihai Song, Ruiqin Xiong, Siwei Ma, Wen Gao, Peking University, P.R. China

17:50  COM-L3.5—BANDWIDTH EFFICIENT MOBILE CLOUD GAMING WITH LAYERED CODING AND SCALABLE PHONG LIGHTING

Seong-Ping Chuah, Ngai-Man Cheung, Singapore University of Technology & Design, Singapore

SMR-L4: Statistical Models

16:30  SMR-L4.1—INVERSE PROBLEM FORMULATION FOR REGULARITY ESTIMATION IN IMAGES

Nelly Pustelnik, Patrice Abry, Ecole Normale Supérieure, Lyon, France; Herwig Wendt, Nicolas Dobigeon, University of Toulouse, France

16:50  SMR-L4.2—SIMULATION OF IMAGE TIME SERIES FROM DYNAMICAL FRACTIONAL BROWNIAN FIELDS

Abdourrahmane Atto, University of Savoie, France; Lionel Fillatre, Marc Antonini, Université de Nice Sophia Antipolis, France; Igor Nikiforov, Université de Technologie de Troyes, France

17:10  SMR-L4.3—TEXTURE MODELING BY GAUSSIAN FIELDS WITH PRESCRIBED LOCAL ORIENTATION

Kevin Polisano, University of Grenoble-Alpes, France; Marianne Clausel, University Joseph Fourier, France; Valérie Perrier, Laurent Condat, University of Grenoble-Alpes, France

17:30  SMR-L4.4—STATISTICS OF WAVELET COEFFICIENTS FOR SPARSE SELF-SIMILAR IMAGES

Julien Fageot, Emrah Bostan, Michael Unser, Ecole Polytechnique Fédérale de Lausanne, Switzerland

17:50  SMR-L4.5—A UNIFIED MARKOV RANDOM FIELD/MARKED POINT PROCESS IMAGE MODEL AND ITS APPLICATION TO COMPUTATIONAL MATERIALS

Huixi Zhao, Mary Comer, Purdue University, USA; Marc De Graef, Carnegie Mellon University, USA

SS20: Privacy-Preserving Multimedia Content Analysis: Privacy by Design and Social-Impact Analysis

Session Chair: Atta Badii, University of Reading

16:30  SS20.1—TEMPORAL FACE EMBEDDING AND PROPAGATION IN PHOTO COLLECTIONS

Markus Brenner, Queen Mary, University of London, United Kingdom; Tamar Avraham, Michael Lindenbaum, Technion, Israel; Ebroul Izquierdo, Queen Mary, University of London, United Kingdom

16:50  SS20.2—CROWD ANALYSIS IN NON-STATIC CAMERAS USING FEATURE TRACKING AND MULTI-PERSON DENSITY

Tobias Senst, Volker Eiselein, Ivo Keller, Thomas Sikora, Technische Universität Berlin, Germany

17:10  SS20.3—SCRAMBLING FACES FOR PRIVACY PROTECTION USING BACKGROUND SELF-SIMILARITIES

Andrea Melle, Jean-Luc Dugelay, EURECOM, France

17:30  SS20.4—TOWARDS OPTIMAL DISTORTION-BASED VISUAL PRIVACY FILTERS

Pavel Korshunov, Touradj Ebrahimi, Ecole Polytechnique Fédérale de Lausanne, Switzerland

SS9: Advances in Astronomical Signal and Image Processing

Session Chair: Jerome Bobin, CEA

16:30  SS9.1—STATISTICAL PROPERTIES OF SPHERICAL WAVELETS SYSTEMS

Domenico Marinucci, University of Rome Tor Vergata, Italy; Sreekar Vadlamani, Tata Institute for Fundamental Research, India

16:50  SS9.2—STATISTICAL ANALYSES OF GALAXY-SURVEYS TO PROBE THE STANDARD COSMOLOGICAL MODEL

Patricio Vielva, Universidad de Cantabria, Spain

17:10  SS9.3—SPARSE BLIND SOURCE SEPARATION FOR PARTIALLY CORRELATED SOURCES

Jerome Bobin, Jean-Luc Starck, Jeremy Rapin, Anthony Larue, CEA, France

17:30  SS9.4—SPARSITY IN TENSOR OPTIMIZATION FOR OPTICAL-INTERFEROMETRIC IMAGING

Anna Auria, Rafael Carrillo, Jean-Philippe Thiran, École Polytechnique Fédérale de Lausanne, Switzerland; Yves Wiaux, Heriot Watt University, United Kingdom

17:50  SS9.5—DETECTION OF ASTROPHYSICAL SOURCES IN HYPERSPECTRAL DATA. APPLICATIONS TO THE MUSE INSTRUMENT

David Mary, André Ferrari, Silvia Paris, Université de Nice Sophia-Antipolis, France

ARS-P17: Feature Selection

ARS-P17.1—DTRF: A PHYSIOLOGICALLY MOTIVATED METHOD FOR IMAGE DESCRIPTION

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng, Huazhong University of Science and Technology, P.R. China

ARS-P17.2—HDO: A NOVEL LOCAL IMAGE DESCRIPTOR

Wonjun Kim, Samsung Advanced Institute of Technology, Korea; ByungIn Yoo, Samsung Advanced Institute of Technology & Korea Advanced Institute of Science and Technology, Korea; Jae-Joon Han, Samsung Advanced Institute of Technology, Korea

ARS-P17.3—KEYPOINT DETECTION BY CASCADED FAST

Takahiro Hasegawa, Yuji Yamauchi, Chubu University, Japan; Mitsuru Ambai, Yuichi Yoshida, DENSO IT Laboratory, Japan; Hironobu Fujiyoshi, Chubu University, Japan

ARS-P17.4—AFFINE REGION DETECTORS ON THE FISHEYE DOMAIN

Antonino Furnari, Giovanni Farinella, Giovanni Puglisi, University of Catania, Italy; Arcangelo Bruna, ST Microelectronics, Italy; Sebastiano Battiato, University of Catania, Italy

ARS-P17.5—BAMBOO: A FAST DESCRIPTOR BASED ON ASYMMETRIC PAIRWISE BOOSTING

Luca Baroffio, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy

ARS-P17.6—ROBUST TEXTURE FEATURES FOR BLURRED IMAGES USING UNDECIMATED DUAL-TREE COMPLEX WAVELETS

Nantheera Anantrasirichai, Jeremy Burn, David Bull, University of Bristol, United Kingdom

ARS-P17.7—PHOTOGRAPHIC PAPER TEXTURE CLASSIFICATION USING MODEL DEVIATION OF LOCAL VISUAL DESCRIPTORS

David Picard, Ngoc-Son Vu, Inbar Fijalkow, University of Cergy-Pontoise, France

ARS-P17.8—TEMPORAL AND LONGITUDINAL VARIANCES IN WOOD LOG CROSS-SECTION IMAGE ANALYSIS

Rudolf Schraml, University of Salzburg, Austria; Johann Charwat-Pessler, University of Applied Sciences, Austria; Andreas Uhl, University of Salzburg, Austria

ARS-P17.9—ROTATION-INVARIANT LOCAL RADIUS INDEX: A COMPACT TEXTURE SIMILARITY FEATURE FOR CLASSIFICATION

Yuanhao Zhai, David Neuhoff, University of Michigan, USA

ARS-P17.10—MAX-SIFT: FLIPPING INVARIANT DESCRIPTORS FOR WEB LOGO SEARCH

Lingxi Xie, Tsinghua University, P.R. China; Qi Tian, University of Texas at San Antonio, USA; Bo Zhang, Tsinghua University, P.R. China

ARS-P17.11—TWO-DIMENSIONAL LOCAL TERNARY PATTERNS USING SYNCHRONIZED IMAGES FOR OUTDOOR PLACE CATEGORIZATION

Hojung Jung, Ryo Kurazume, Yumi Iwashita, Kyushu University, Japan; Oscar Martinez Mozos, University of Lincoln, United Kingdom

ARS-P17.12—LOW-RANK SIFT: AN AFFINE INVARIANT FEATURE FOR PLACE RECOGNITION

Harry Yang, Shengnan Cai, Hong Kong University of Science and Technology, Hong Kong; Jingdong Wang, Microsoft Research Asia, P.R. China; Long Quan, Hong Kong University of Science and Technology, P.R. China

ARS-P17.13—3D INTEREST POINT DETECTION USING LOCAL SURFACE CHARACTERISTICS WITH APPLICATION IN ACTION RECOGNITION

Michael Holte, Aalborg University, Denmark

ARS-P17.14—SCALE-INVARIANT CORNER KEYPOINTS

Bo Li, Haibo Li, Ulrik Söderström, Umeå University, Sweden

ARS-P17.15—LOCAL SELF-SIMILARITY FREQUENCY DESCRIPTOR FOR MULTISPECTRAL FEATURE MATCHING

Seungryong Kim, Seungchul Ryu, Bumsub Ham, Junhyung Kim, Kwang Hoon Sohn, Yonsei University, Korea

ARS-P17.16—BRISKOLA: BRISK OPTIMIZED FOR LOW-POWER ARM ARCHITECTURES

Luca Baroffio, Antonio Canclini, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Politecnico di Milano, Italy

ARS-P17.17—EVALUATING THE PERFORMANCE AND CORRELATION OF COLOUR INVARIANT LOCAL IMAGE FEATURE DETECTORS

Tony Marrero Barroso, Ovidiu Ghita, Paul Whelan, Dublin City University, Ireland

ARS-P17.18—IMPROVING THE MATCHING PRECISION OF SIFT

Zhongwei Tang, Pascal Monasse, Ecole des Ponts-ParisTech, France; Jean-Michel Morel, Ecole Normale Supérieure de Cachan, France

ARS-P17.19—LEARNING COMPRESSED IMAGE CLASSIFICATION FEATURES

Qiang Qiu, Guillermo Sapiro, Duke University, USA

ARS-P17.20—EFFICIENT FUSION OF MULTIDIMENSIONAL DESCRIPTORS FOR IMAGE RETRIEVAL

Neelanjan Bhowmik, University Paris-Est & Nicéphore Cité, France; Ricardo González V., University of Campinas, Brazil; Valerie Gouet-Brunet, University Paris-Est, France; Helio Pedrini, University of Campinas, Brazil; Gabriel Bloch, Nicéphore Cité, France

ARS-P17.21—HAMMING EMBEDDING WITH FRAGILE BITS FOR IMAGE SEARCH

Dongye Zhuang, Dongming Zhang, Jintao Li, Ke Lv, Chinese Academy of Sciences, P.R. China; Qi Tian, University of Texas at San Antonio, USA

ARS-P17.22—DENSE INTEREST FEATURES FOR VIDEO PROCESSING

Roeland De Geest, Tinne Tuytelaars, Katholieke Universiteit Leuven, Belgium

ARS-P18: Recognition

ARS-P18.1—A NEW ROBUST CONTEXT-BASED DENSE CRF MODEL FOR IMAGE LABELING

Maryam Nematollahi, Xiao-Ping Zhang, Ryerson University, Canada

ARS-P18.2—A DATASET FOR HAND-HELD OBJECT RECOGNITION

Jose Rivera-Rubio, Saad Idrees, Ioannis Alexiou, Lucas Hadjilucas, Imperial College London, United Kingdom; Anil Bharath, Imperial College & Cortexica Vision Systems, United Kingdom

ARS-P18.3—MODELING LABEL DEPENDENCIES IN KERNEL LEARNING FOR IMAGE ANNOTATION

Phong Vo, Hichem Sahbi, Telecom ParisTech, France

ARS-P18.4—AGE AND GENDER RECOGNITION USING INFORMATIVE FEATURES OF VARIOUS TYPES

Ehsan Fazl-Ersi, Mohammad Esmaeel Mousa Pasandi, Robert Laganiere, University of Ottawa, Canada; Maher Awad, ADitude Media Incorporation, Canada

ARS-P18.5—COMPLEMENTARY FEATURE EXTRACTION FOR BRANDED HANDBAG RECOGNITION

Yan Wang, Sheng Li, Alex Kot, Nanyang Technological University, Singapore

ARS-P18.6—HIERARCHY OF VISUAL FEATURES FOR OBJECT RECOGNITION

Nitin Gupta, Sukhendu Das, Sutanu Chakraborti, Indian Institute of Technology Madras, India

ARS-P18.7—QUALITY OF DIRTY: A DECISION MAKING ASSESSMENT METHODOLOGY FOR AUTOMATIC LICENSE PLATE RECOGNITION UNDER DIRTIED CONDITIONS

Junyong You, Christian Michelsen Research, Norway; Hans Bolstad, Norwegian Research Centre for Offshore Wind Technology, Norway; Andrew Perkis, Norwegian University of Science and Technology, Norway

ARS-P18.8—GENDER IDENTIFICATION IN UNCONSTRAINED SCENARIOS USING SELF-SIMILARITY OF GRADIENTS FEATURES

Hong Liu, Yuan Gao, Can Wang, Peking University, P.R. China

ARS-P18.9—HIERARCHICAL MULTI-FEATURE FUSION FOR MULTIMODAL DATA ANALYSIS

Hong Zhang, Li Chen, Jun Liu, Wuhan University of Science & Technology, P.R. China; Junsong Yuan, Nanyang Technological University, Singapore

ARS-P18.10—HIGH SPEED DEEP NETWORKS BASED ON DISCRETE COSINE TRANSFORMATION

Xiaoyi Zou, Xiangmin Xu, Chunmei Qing, Xiaofen Xing, South China University of Technology, P.R. China

ARS-P18.11—LEARNING A COMPACT LATENT REPRESENTATION OF THE BAG-OF-PARTS MODEL

Xiaozhi Chen, Huimin Ma, Tsinghua University, P.R. China

ARS-P18.12—SHARING MODEL WITH MULTI-LEVEL FEATURE REPRESENTATIONS

Li Shen, University of Chinese Academy of Sciences, P.R. China; Gang Sun, Shuhui Wang, Enhua Wu, Chinese Academy of Sciences, P.R. China; Qingming Huang, University of Chinese Academy of Sciences, P.R. China

ARS-P18.13—TEXTURE CLASSIFICATION USING ASYMMETRIC POWER DISTRIBUTION AND WAVELET TRANSFORMS

Nour-Eddine Lasmar, Alexandre Baussard, Gilles Le Chenadec, ENSTA Bretagne, France

ARS-P18.14—A SHAPE-BASED OBJECT CLASS DETECTION MODEL USING LOCAL SCALE-INVARIANT FRAGMENT FEATURE

Hui Wei, Jinwen Xiao, Fudan University, P.R. China

ARS-P18.15—REFINED CLOTHING TEXTURE PARSING BY EXPLOITING THE DISCRIMINATIVE MEANINGS OF SPARSE CODES

Fan Wang, Qiyang Zhao, Baolin Yin, Beihang University, P.R. China

ARS-P18.16—IMPROVING NON-NEGATIVE MATRIX FACTORIZATION VIA RANKING ITS BASES

Sheng Huang, Chongqing University & Rutgers University, P.R. China; Mohamed Elhoseiny, Ahmed Elgammal, Rutgers University, USA; Dan Yang, Chongqing University, P.R. China

ARS-P18.17—LEARNING CO-OCCURRENCE STROKES FOR SCENE CHARACTER RECOGNITION BASED ON SPATIALITY EMBEDDED DICTIONARY

Song Gao, Chunheng Wang, Baihua Xiao, Cunzhao Shi, Wen Zhou, Zhong Zhang, Institute of Automation, Chinese Academy of Sciences, P.R. China

COM-P4: Image Compression

COM-P4.1—OPERATIONAL RATE-DISTORTION SHAPE CODING WITH DUAL ERROR REGULARIZATION

Zhongyuan Lai, Jianghan University, P.R. China; Fan Zhang, Lenovo Group Ltd., Hong Kong; Weisi Lin, Nanyang Technological University, Singapore

COM-P4.2—COLORIZATION MATRIX CONSTRUCTION WITH HIGH COMPRESSION EFFICIENCY FOR COLORIZATION-BASED CODING USING OPTIMIZATION

Kazu Mishiba, Takeshi Yoshitome, Tottori University, Japan

COM-P4.3—COLOR PALETTE FOR SCREEN CONTENT CODING

Liwei Guo, Wei Pu, Feng Zou, Joel Sole, Marta Karczewicz, Rajan Joshi, Qualcomm, USA

COM-P4.4—ADAPTIVE GUIDED IMAGE FILTERING FOR SCREEN CONTENT CODING

Thijs Vermeir, Barco N. V. & Ghent University – iMinds, Belgium; Jürgen Slowack, Barco N. V., Belgium; Sebastiaan Van Leuven, Glenn Van Wallendael, Jan De Cock, Rik Van de Walle, Ghent University – iMinds, Belgium

COM-P4.5—ON PREDICTION TECHNIQUES FOR PALETTE CODING

Guoxin Jin, Northwestern University, USA; Ankur Saxena, Felix Fernandes, Samsung Information Systems America, USA

COM-P4.6—SELF-ADAPTIVE STRETCH IN ANAMORPHIC IMAGE COMPRESSION

Mohammad Asghari, Bahram Jalali, University of California, Los Angeles, USA

COM-P4.7—UNSUPERVISED AND SUPERVISED APPROACHES TO COLOR SPACE TRANSFORMATION FOR IMAGE CODING

Massimo Minervini, Cristian Rusu, Sotirios Tsaftaris, IMT Institute for Advanced Studies Lucca, Italy

COM-P4.8—EPITOME INPAINTING WITH IN-LOOP RESIDUE CODING FOR IMAGE COMPRESSION

Safa Cherigui, Université Rennes 1 & Technicolor, France; Martin Alain, Technicolor & INRIA, France; Christine Guillemot, INRIA, France; Dominique Thoreau, Philippe Guillotel, Technicolor, France

COM-P4.9—SIMPLIFIED DCT-LIFTING-BASED REVERSIBLE LAPPED TRANSFORMS USING PARALLEL PROCESSING OF TWO SAME TYPE LAPPED TRANSFORMS

Taizo Suzuki, University of Tsukuba, Japan; Masaaki Ikehara, Keio University, Japan

COM-P4.10—LOW DELAY WYNER-ZIV CODING USING OPTICAL FLOW

Matteo Salmistraro, Soren Forchhammer, Technical University of Denmark, Denmark

COM-P4.11—A BACKWARD WAVELET REMESHER FOR LEVEL OF DETAIL CONTROL AND SCALABLE CODING

Hao-Chiang Shao, Wen-Liang Hwang, Academia Sinica, Taiwan; Yung-Chang Chen, National Tsing Hua University, Taiwan

COM-P4.12—HIGHLY EFFICIENT, LOW COMPLEXITY ARITHMETIC CODER FOR JPEG2000

Francesc Auli-Llinas, Universitat Autonoma de Barcelona, Spain

COM-P4.13—RATE DISTORTION OPTIMIZED QUANTIZATION BASED ON WEIGHTED MEAN SQUARED ERROR FOR LOSSY IMAGE CODING

Da-ke He, Jing Wang, BlackBerry, Canada

COM-P4.14—AN EFFICIENT DCT-BASED IMAGE COMPRESSION SYSTEM BASED ON TRANSPARENT COMPOSITE MODEL

Chang Sun, En-hui Yang, University of Waterloo, Canada

COM-P4.15—OPTIMIZED QUANTIZATION OF WAVELET SUBBANDS FOR HIGH QUALITY REAL-TIME TEXTURE COMPRESSION

Bob Andries, Jan Lemeire, Adrian Munteanu, Vrije Universiteit Brussel, Belgium

COM-P4.16—IMPROVING HYBRID CODING VIA CONTROL OF QUANTIZATION ERRORS IN THE SPATIAL AND FREQUENCY DOMAINS

Amir Said, Onur Guleryuz, Sehoon Yea, LG Electronics, USA

COM-P4.17—LOSSY DEPTH IMAGE COMPRESSION USING GREEDY RATE-DISTORTION SLOPE OPTIMIZATION

Ionut Schiopu, Ioan Tabus, Tampere University of Technology, Finland

COM-P4.18—ADAPTIVE CONTEXT FORMATION FOR LINEAR PREDICTION OF IMAGE DATA

Tilo Strutz, Leipzig University of Telecommunications, Germany

COM-P4.19—LOSSLESS IMAGE COMPRESSION USING CAUSAL BLOCK MATCHING AND 3D COLLABORATIVE FILTERING

Robert Crandall, Ali Bilgin, University of Arizona, USA

COM-P4.20—A NEW DIFFERENTIAL AND LOSSLESS REFERENCE FRAME VARIABLE-LENGTH CODER: AN APPROACH FOR HIGH DEFINITION VIDEO CODERS

Dieison Silveira, Guilherme Povala, Lívia Amaral, Federal University of Pelotas, Brazil; Bruno Zatt, Federal University of Rio Grande do Sul, Brazil; Luciano Agostini, Marcelo Porto, Federal University of Pelotas, Brazil

COM-P4.21—AN EFFICIENT ADAPTIVE ARITHMETIC CODING FOR BLOCK-BASED LOSSLESS IMAGE COMPRESSION USING MIXTURE MODELS

Atef Masmoudi, Sfax Preparatory Engineering Institute, Tunisia; Afif Masmoudi, University of Sfax, Tunisia; William Puech, LIRMM, France

COM-P4.22—IMPROVED HEVC LOSSLESS COMPRESSION USING TWO-STAGE CODING WITH SUB-FRAME LEVEL OPTIMAL QUANTIZATION VALUES

Xun Cai, Massachusetts Institute of Technology, USA; Qunshan Gu, Google Inc., USA

COM-P4.23—ANCHOR POINTS CODING FOR DEPTH MAP COMPRESSION

Ionut Schiopu, Ioan Tabus, Tampere University of Technology, Finland

COM-P4.24—VISUALLY LOSSLESS STRATEGIES TO DECODE AND TRANSMIT JPEG2000 IMAGERY

Leandro Jimenez-Rodriguez, Francesc Auli-Llinas, Universitat Autonoma de Barcelona, Spain; Michael W. Marcellin, University of Arizona, USA

COM-P4.25—HIERARCHIZED BLOCK WISE IMAGE APPROXIMATION BY GREEDY PURSUIT STRATEGIES

Laura Rebollo-Neira, Ryszard Maciol, Shabnam Bibi, Aston University, United Kingdom

COM-P4.26—ASYMMETRIC CODING OF STEREOSCOPIC 3D BASED ON PERCEPTUAL SIGNIFICANCE

Sid Ahmed Fezza, University of Oran, Algeria; Chaker Larabi, Université de Poitiers, France; Kamel Mohamed Faraoun, Djillali Liabes University, Algeria

COM-P4.27—RATE DISTORTION OPTIMAL BIT ALLOCATION FOR STEREO IMAGE CODING

Walid Hachicha, Mounir Kaaniche, Azeddine Beghdadi, Université Paris 13, France; Faouzi Alaya Cheikh, Gjovik University College, Norway

IFS-P2: Image Security

IFS-P2.1—AN EFFECTIVE WATERMARKING METHOD AGAINST VALUMETRIC DISTORTIONS

Zairan Wang, Jing Dong, Wei Wang, Tieniu Tan, Chinese Academy of Sciences, P.R. China

IFS-P2.2—DISPARITY BASED STEREO IMAGE REVERSIBLE DATA HIDING

Ting Luo, Gangyi Jiang, Mei Yu, Feng Shao, Zongju Peng, Ningbo University, P.R. China

IFS-P2.3—A BLIND WATERMARKING SCHEME FOR DEPTH-IMAGE-BASED RENDERED 3D VIDEO USING THE DUAL-TREE COMPLEX WAVELET TRANSFORM

Md. Asikuzzaman, Md. Jahangir Alam, Andrew Lambert, Mark Pickering, University of New South Wales, Australia

IFS-P2.4—INFORMATION HIDING IN HEVC STANDARD USING ADAPTIVE CODING BLOCK SIZE DECISION

Yiqi Tew, KokSheik Wong, University of Malaya, Malaysia

IFS-P2.5—SIFT BASED ROBUST IMAGE WATERMARKING RESISTANT TO RESOLUTION SCALING

Priyatham Bollimpalli, Nilkanta Sahu, Arijit Sur, Indian Institute of Technology Guwahati, India

IFS-P2.6—IMPROVED STEGANALYSIS ALGORITHM AGAINST MOTION VECTOR BASED VIDEO STEGANOGRAPHY

Hao-tian Wu, Yuan Liu, Jiangnan University, P.R. China; Jiwu Huang, Shenzhen University, P.R. China; Xin-Yu Yang, Sun Yat-sen University, P.R. China

IFS-P2.7—STATISTICAL DETECTION OF JSTEG STEGANOGRAPHY USING HYPOTHESIS TESTING THEORY

Tong Qiao, Cathel Zitzmann, Florent Retraint, Rémi Cogranne, University of Technology of Troyes, France

IFS-P2.8—SCALABLE CODING OF STREAM CIPHER ENCRYPTED IMAGES VIA ADAPTIVE SAMPLING

Jiantao Zhou, University of Macau, Macao; Oscar Au, Hong Kong University of Science and Technology, Hong Kong

IFS-P2.9—A CHEAT PREVENTING METHOD WITH EFFICIENT PIXEL EXPANSION FOR NAOR-SHAMIR’S VISUAL CRYPTOGRAPHY

Shenchuan Liu, Hisilicon Technologies Co., Ltd, P.R. China; Masaaki Fujiyoshi, Hitoshi Kiya, Tokyo Metropolitan University, Japan

IFS-P2.10—SPARSE REPRESENTATION BASED ANOMALY DETECTION WITH ENHANCED LOCAL DICTIONARIES

Sovan Biswas, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India

IFS-P2.11—A SEMI-AUTOMATIC DESHREDDING METHOD BASED ON CURVE MATCHING

Shize Shang, Dalian University of Technology, P.R. China; Husrev Sencar, New York University Abu Dhabi, UAE; Nasir Memon, New York University Polytechnic School of Engineering, USA; Xiangwei Kong, Dalian University of Technology, P.R. China

IFS-P2.12—EFFICIENT ALIGNMENT FOR VEHICLE MAKE AND MODEL RECOGNITION

Ninad Thakoor, Bir Bhanu, University of California, Riverside, USA

SMR-P4: Sensing and Acquisition

SMR-P4.1—A PRACTICAL METHOD FOR MEASURING THE SPATIAL FREQUENCY RESPONSE OF LIGHT FIELD CAMERAS

Damien Firmenich, Loic Baboulaz, Sabine Süsstrunk, Ecole Polytechnique Fédérale de Lausanne, Switzerland

SMR-P4.2—ROBUST VIDEO STABILIZATION BASED ON MESH GRID WARPING OF ROLLING-FREE FEATURES

Yeong Jun Koh, Korea University, Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Korea; Chang-Su Kim, Korea University, Korea

SMR-P4.3—SEMI-ONLINE VIDEO STABILIZATION USING PROBABILISTIC KEYFRAME UPDATE AND INTER-KEYFRAME MOTION SMOOTHING

Juhan Bae, Youngbae Hwang, Korea Electronics Technology Institute, Korea; Jongwoo Lim, Hanyang University, Korea

SMR-P4.4—KINECT UNBIASED

Manuel Martinez, Rainer Stiefelhagen, Karlsruhe Institute of Technology, Germany

SMR-P4.5—A COMPARATIVE ANALYSIS OF CAPACITIVE TOUCH PANEL GRID DESIGNS AND INTERPOLATION METHODS

Humza Akhtar, Ramakrishna Kakarala, Nanyang Technological University, Singapore

SMR-P4.6—MOTION ESTIMATION OF MULTIPLE DEPTH CAMERAS USING SPHERES

Xiaoming Deng, Jie Liu, Feng Tian, Chinese Academy of Sciences, P.R. China; Liang Chang, Beijing Normal University, P.R. China; Hongan Wang, Chinese Academy of Sciences, P.R. China

SMR-P4.7—A NOVEL GEOMETRIC APPROACH FOR CAMERA CALIBRATION

Zhe Zhang, Kin Hong Wong, The Chinese University of Hong Kong, Hong Kong

SMR-P4.8—FAST OMNI-IMAGE UNWARPING USING PANO-MAPPING POINTERS ARRAY

Jaime Reategui, Paul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Nicolas Ragot, Ecole Supérieure d’Ingenieurs en Genie Electrique, France

SMR-P4.9—SPECKLE IN ULTRASOUND IMAGES: FRIEND OR FOE?

Nikhil Narayan, Pina Marziliano, Jeevendra Kanagalingam, Christopher Hobbs, Nanyang Technological University, Singapore

SMR-P4.10—IMAGING ACTIVITY IN INTEGRATED CIRCUITS

Erik Matlin, Neil Troy, David Stoker, SRI International, USA

SMR-P4.11—CONTROLLED BLURRING FOR IMPROVING IMAGE RECONSTRUCTION QUALITY IN FLUTTER-SHUTTER ACQUISITION

Suraj Srinivas, PES Institute of Technology, India; Aniruddha Adiga, Chandra Sekhar Seelamantula, Indian Institute of Science, India

SMR-P4.12—3-D BATHYMETRIC RECONSTRUCTION IN MULTI-PATH AND REVERBERANT UNDERWATER ENVIRONMENTS

Augustin Saucan, Thierry Chonavel, Christophe Sintes, Jean Marc Le Caillec, Télécom Bretagne, France

SMR-P4.13—EFFECTS OF STAR EXTRACTION ARTIFACTS ON BLIND ATTITUDE DETERMINATION

Engin Tola, Aurvis R&D & Tubitak Uzay Space Technologies Research Institute, Turkey; Medeni Soysal, Tubitak Uzay Space Technologies Research Institute, Turkey

SMR-P4.14—BI-STATIC SYNTHETIC APERTURE INVERSION FOR NON-STATIONARY TARGET AND CLUTTER

H. Cagri Yanik, Birsen Yaz?c?, Rensselaer Polytechnic Institute, USA

SMR-P4.15—STRUCTURE PRESERVING BILATERAL FILTERING FOR POLSAR DATA

Xuezhi Yang, Ming Ye, Xiu Wu, Zhao Yang, Hefei University of Technology, P.R. China

SMR-P4.16—AUTOMATIC FAULT TRACKING ACROSS SEISMIC VOLUMES VIA TRACKING VECTORS

Zhen Wang, Zhiling Long, Ghassan AlRegib, Georgia Institute of Technology, USA; Amin Asjad, Mohamed Deriche, King Fahd University of Petroleum & Minerals, Saudi Arabia

SMR-P4.17—DISCONTINUOUS SEISMIC HORIZON RECONSTRUCTION BASED ON LOCAL DIP TRANSFORMATION

Guillaume Zinck, Marc Donias, University of Bordeaux, France; Sébastien Guillon, TOTAL, France

SMR-P4.18—TIME OF FLIGHT MOTION COMPENSATION REVISITED

Jens-Malte Gottfried, Rahul Nair, Stephan Meister, Christoph Garbe, Daniel Kondermann, University of Heidelberg, Germany

SMR-P4.19—AUTOMATED REGISTRATION OF LOW AND HIGH RESOLUTION ATOMIC FORCE MICROSCOPY IMAGES USING SCALE INVARIANT FEATURES

Yun-feng Wang, Trinity College Dublin, Ireland; Jason Kilpatrick, Suzanne Jarvis, University College Dublin, Ireland; Frank Boland, Anil Kokaram, David Corrigan, Trinity College Dublin, Ireland

SMR-P4.20—FLASH/NO-FLASH FUSION FOR MOBILE DOCUMENT IMAGE BINARIZATION

Jayant Kumar, Martin Maltz, Raja Bala, Xerox Corporation, USA