VECTaR2009 (with ACCV 2009) The 1st International Workshop on Video Event Categorization, Tagging and Retrieval (VECTaR2009) In Conjunction with ACCV 2009 Xi'an, China, Sep.24, 2009 http://www.cs.qub.ac.uk/~J.Zhang/VECTaR2009.htm Call for Papers One of the remarkable capabilities of human visual perception system is to interpret and recognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. As an ultimate goal of computer vision system, the interpretation and recognition of visual events is one of the most challenging problems and has increasingly become very popular for decades. This task remains exceedingly difficult because of several reasons: 1) there still remain large ambiguities in the definition of different levels of events. 2) A computer model should be capable of capturing the meaningful structure for a specific event. At the same time, the representation (or recognition process) must be robust under challenging video conditions. 3) A computer model should be able to understand the context of video scenes to have meaningful interpretation of a video event. Despite those difficulties, in recent years, steady progress has been made towards better models for video event categorisation and recognition, e.g., from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events through a distributed camera network, and from low-level event feature extraction and description to high-level semantic event classification and recognition. The goal of this workshop is to provide a forum for recent research advances in the area of video event categorisation, tagging and retrieval. The workshop seeks original high-quality submissions from leading researchers and practitioners in academia as well as industry, dealing with theories, applications and databases of visual event recognition. Topics of interest include, but are not limited to: Motion interpretation and grouping Human Action representation and recognition Abnormal event detection Contextual event inference Event recognition among a distributed camera network Multimodal event recognition Spatial temporal features for event categorisation Hierarchical event recognition Probabilistic graph models for event reasoning Machine learning for event recognition Global/local event descriptors Metadata construction for event recognition Bottom up and top down approaches for event recognition Event-based video segmentation and summarization Video event database gathering and annotation Efficient indexing and concepts modelling for video event retrieval Semantic-based video event retrieval Online video event tagging Evaluation methodologies for event-based systems Event-based applications (security, sports, news, etc.) Important Dates Submission deadline: July 06, 2009 Notification of acceptance: July 31, 2009 Camera-ready papers: August 12, 2009 Workshop: September 24, 2009 Workshop Co-Chairs Dr. Jianguo Zhang, Queen's University Belfast, UK Dr. Ling Shao, Philips Research Laboratories, The Netherlands Dr. Lei Zhang, Microsoft Research Asia, China Prof. Graeme A. Jones, Kingston University, UK Paper Submission When submitting manuscripts to this workshop, the authors acknowledge that the manuscripts or papers substantially similar in content have NOT been submitted to another conference, workshop, or journal. The format of the paper is the same as the ACCV main conference paper. Please follow the instructions on the website http://www.accv2009.org/. For the paper submission, please follow the Submission Website (https://cmt.research.microsoft.com/VECTAR2009/). Review Each submission will be reviewed by at least three reviewers from program committee members and external reviewers for originality, significance, clarity, soundness, relevance and technical contents. Accepted papers will be published together with the proceedings of ACCV 2009 in electronic format by Springer. High-quality papers will be invited to submit in an extended form to an edited book or a special issue of a top computer vision journal (e.g. CVIU) after the conference. Program Committee Carlo Regazzoni, University of Genoa, Italy Dacheng Tao, Nanyang Technological University, Singapore Dan Schonfeld, University of Illinois at Chicago, USA Dong Xu, Nanyang Technological University, Singapore Federico Pernici, Università di Firenze, Italy GianLuca Foresti, University of Udine, Italy Graeme A. Jones, Kingston University, UK Hongbin Zha, Peking University, Beijing China Ivan Laptev, INRIA, France James Ferryman, The University of Reading, UK James W. Davis, Ohio State University, USA Jianguo Zhang, Queen's University Belfast, UK Jianmin Li, Tsinghua University, China Kaiqi Hang, Chinese Academy of Sciences, China Lei Zhang, Microsoft Research Asia Ling Shao, Philips Research Laboratories, The Netherlands Ling-Yu Duan, Peking University, China Li-Qun Xu, BT exact UK Marcin Marszalek, Unviersity of Oxford, UK Paul Miller, Queen's University Belfast, UK Peter Sturm, INRIA, France Ram Nevatia, University of Southern California, USA Rama Chellappa, University of Maryland, USA Roy Davies, Royal Holloway, University of London, UK Shaogang Gong, Queen Mary University London, UK Shin'ichi Satoh, National Institute of Informatics, Japan Tao Mei, Microsoft Research Asia Tao Xiang, Queen Mary University London, UK Tim Ellis, Kingston University, UK Winston Hsu, National Taiwan University Xin-Jing Wang, Microsoft Research Asia Xuelong Li, Birkbeck College, University of London, UK Yan Song, University of Science and Technology of China Yanwei Pang, Tianjin University, China Yu-Gang Jiang, City University of Hong Kong, China Zhu Li, Hong Kong Polytechnic University, China Contacts Dr. Jianguo Zhang, Email: Jianguo.zhang at qub.ac.uk Dr. Ling Shao, Email: l.shao at philips.com Dr. Lei Zhang, Email: leizhang at microsoft.com