The 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications ( VECTaR2011 ) In Conjunction with ICCV 2011 Barcelona, Spain, November 13th, 2011 Call for Papers With the vast development of Internet capacity and speed, as well as wide adoptation of media technologies in people's daily life, it is highly demanding to efficiently process or organize video events rapidly emerged from the Internet (e.g., YouTube), wider surveillance networks, mobile devices, smart cameras, etc. The human visual perception system could, without difficulty, 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. For a computer vision system, it has been very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under motion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorization and recognition, e.g., from modeling 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. However, the current progress in video event analysis is still far more from its promise. It is still very difficult to retrieve or categorise a specific video segment based on their content in a real multimedia system or in surveillance applications. The existing techniques are usually tested on simplified scenarios, such as the KTH dataset, and real-life applications are much more challenging and require special attention. To advance the progress further, we must adapt recent or existing approaches to find new solutions for intelligent video event understanding. 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. Real-life applications in the context of multimedia metadata, i.e. event analysis and recognition on videos from the Internet, surveillance cameras, and mobile devices, etc., will be the theme of this year’s workshop. Topics include the following, but 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 Multi-modal event recognition Spatial temporal features for event categorization 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 modeling for video event retrieval Semantic-based video event retrieval On-line video event tagging Evaluation methodologies for event-based systems Event-based applications (security, sports, news, etc.) Important Dates Submission Deadline July 11th, 2011 Notification of Acceptance August 22nd, 2011 Camera-Ready Submission September 12th, 2011 Workshop November 13th, 2011 General Chairs Prof. Tieniu Tan, Chinese Academy of Sciences, China Prof. Thomas S. Huang, University of Illinois at Urbana-Champaign, USA Program Chairs Prof. Liang Wang, Chinese Academy of Sciences, China Dr. Jianguo Zhang, University of Dundee, UK Dr. Ling Shao, The University of Sheffield, UK Tentative Program Commitee Rama Chellappa , University of Maryland, USA James W. Davis , Ohio State University, USA Ling-Yu Duan , Peking University, China Tim Ellis , Kingston University, UK James Ferryman , University of Reading, UK GianLuca Foresti , University of Udine, Italy Shaogang Gong , Queen Mary University London, UK kaiqi Hang , Chinese Academy of Sciences, China Winston Hsu , National Taiwan University Ran He, Chinese Academy of Sciences Yu-Gang Jiang , Columbia University, USA Graeme A. Jones , Kingston University, UK Ivan Laptev , INRIA, France Jianmin Li , Tsinghua University, China Xuelong Li , Chinese Academy of Sciences, China Zhu Li , Hong Kong Polytechnic University, China Marcin Marszalek , Unviersity of Oxford, UK Tao Mei , Microsoft Research Asia Paul Miller , Queen's University Belfast, UK Ram Nevatia , University of Southern California, USA Yanwei Pang , Tianjin University, China Federico Pernici , Università di Firenze, Italy Carlo Regazzoni , University of Genoa, Italy Shin'ichi Satoh , National Institute of Informatics, Japan Dan Schonfeld , University of Illinois at Chicago, USA Ling Shao , The University of Sheffield, UK Yan Song , University of Science and Technology of China Peter Sturm , INRIA, France Dacheng Tao , Sydney University of Technology, Australia Xin-Jing Wang , Microsoft Research Asia Tao Xiang , Queen Mary University London, UK Dong Xu , Nanyang Technological University, Singapore Hongbin Zha , Peking University, China Zhang Zhang, Chinese Academy of Sciences Jianguo Zhang , University of Dundee, UK Lei Zhang , Microsoft Research Asia Liang Wang , Chinese Academy of Sciences, China Pingkun Yan , Chinese Academy of Sciences, China Yuan Yuan , Chinese Academy of Sciences, China Submission When submitting manuscripts to this workshop, the authors acknowledge that manuscripts substantially similar in content have NOT been submitted to another conference, workshop, or journal. However, dual submission to the ICCV 2011 main conference and VECTaR'11 is allowed. The format of a paper submission is the same as the ICCV main conference. Please follow instructions on the ICCV 2011 website http://www.iccv2011.org/paper-submission. For the paper submission, please go to the Submission Website (https://cmt.research.microsoft.com/VECTAR2011/)