CfP: ICCV'13 - International Workshop on Video Event Categorization, Tagging and Retrieval ( VECTaR2013 ) http://www.computing.dundee.ac.uk/staff/jgzhang/VECTaR2013.htm 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, depth cameras (e.g., kinect)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 from its promise. It is still very difficult to retrieve or categorize 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 large scale video event understanding. The goal of this workshop is to provide a forum for recent research advances in the area of video event categorization, tagging and retrieval, in particular for depth cameras. 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 Multi-modal event recognition Multi-spectrum data fusion 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 Online video event tagging Evaluation methodologies for event-based systems Event-based applications (security, sports, news, etc.) Important Dates Submission Deadline Sep. 7th, 2013 Notification of Acceptance Oct. 7th, 2013 Camera-Ready Submission Oct. 13th, 2013 Workshop Dec. 8th, 2013 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. Ling Shao, The University of Sheffield, UK Dr. Jianguo Zhang, University of Dundee, UK Dr. Yun Fu, Northeastern University, Boston, USA Tentative Program Commitee TBA 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 2013 main conference and VECTaR'13 is allowed. The format of a paper submission is the same as the ICCV main conference. Please follow instructions on the ICCV 2013 website http://www.iccv2013.org/author_guidelines.php. For the paper submission, please go to the Submission Website (https://cmt.research.microsoft.com/VECTAR2013/) 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 2013 (included in the main conference DVD and in IEEE Xplore). Contacts Prof. Liang Wang, wangliang@nlpr.ia.ac.cn Dr. Ling Shao,ling.shao@sheffield.ac.uk Dr. Jianguo Zhang, jgzhang@computing.dundee.ac.uk Dr. Yun Fu, yunfu@ece.neu.edu