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Fri, 6 May 2011 11:29:24 +0100
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*** Apologies for any cross-posting***



 



------First Call for Papers------------------------



 



We are pleased to announce the First call for paper for The 3rd International Workshop on Video Event Categorization, Tagging and



Retrieval for Real-World Applications ( VECTaR2011 )  *In Conjunction with ICCV 2011



 



Details are below.



 



Deadline for submission: July 11th, 2011



 



Dates: November 13th, 2011



Location:  Barcelona, Spain, 



Website: http://www.computing.dundee.ac.uk/staff/jgzhang/VECTaR2011.htm



 



The 3rd International Workshop on Video Event Categorization, Tagging and



Retrieval for Real-World Applications ( VECTaR2011 )  *In Conjunction with ICCV



2011, 



 



Important Dates



 



   - Submission Deadline *July 11th, 2011*



   - Notification of Acceptance *August 22nd, 2011*



   - Camera-Ready Submission *September 12th, 2011*



   - Workshop *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鈥檚 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.)



 



 



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 , *Universitè„¿ 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



websitehttp://www.iccv2011.org/paper-submission.



 



   - For the paper submission, please go to the Submission Website (



   https://cmt.research.microsoft.com/VECTAR2011/ <https://cmt.research.microsoft.com/VECTAR2011/> )



 



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 ICCV 2011 (included in the



main conference DVD and in IEEE Xplore). High-quality papers will be invited



to submit a special issue of a good computer vision journal after the



conference.



 



 



 



Contacts



 



   - Prof. Liang Wang, [log in to unmask] <mailto:[log in to unmask]> 



   - Dr. Jianguo Zhang, [log in to unmask] <mailto:[log in to unmask]> 



   - Dr. Ling Shao,[log in to unmask]



 



 




The University of Dundee is a Scottish Registered Charity, No. SC015096.



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