http://lshao.staff.shef.ac.uk/VECTaR2010.htm
 

The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval (VECTaR2010)

In Conjunction with ACCV 2010

Queenstown, New Zealand, November 9th, 2010

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 31st, 2010
  • Notification of acceptance: September 15th, 2010
  • Camera-ready papers: September 30th, 2010
  • Workshop: November 9th, 2010

Workshop Chairs

  • Ling Shao, The University of Sheffield, UK
  • Jianguo Zhang, Queen's University Belfast, UK
  • Tieniu Tan, Chinese Academy of Sciences, China
  • Thomas S. Huang, University of Illinois at Urbana-Champaign, USA

Paper 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 ACCV main conference and VECTaR is allowed.

  • The format of a paper submission is the same as the ACCV main conference except that the page limit is 10. Please follow instructions on the ACCV 2010 website http://www.accv2010.org/submission.html.

  • For the paper submission, please go to the Submission Website (https://cmt.research.microsoft.com/VECTAR2010/).

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 2010 by Springer. High-quality papers will be invited to submit in an extended form to an edited book or a special issue of a good computer vision journal after the conference.

Program Committee

    • Faisal Bashir, Heartland Robotics, USA
    • Xu Chen, University of Michigan, USA
    • Ling-Yu Duan, Peking University, China 
    • GianLuca Foresti, University of Udine, Italy 
    • Kaiqi Huang, Chinese Academy of Sciences, China
    • Thomas S. Huang, University of Illinois at Urbana-Champaign, USA
    • Yu-Gang Jiang, City University of Hong Kong, China
    • 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
    • Xiang Ma, IntuVision, USA
    • Paul Miller, Queen's University Belfast, UK  
    • Shin'ichi Satoh, National Institute of Informatics, Japan
    • Ling Shao, The University of Sheffield, UK
    • Peter Sturm, INRIA, France
    • Tieniu Tan, Chinese Academy of Sciences, China  
    • Xin-Jing Wang, Microsoft Research Asia, China
    • Tao Xiang, Queen Mary University London, UK
    •  Jian Zhang, Chinese Academy of Sciences, China
    • Jianguo Zhang, Queen's University Belfast, UK

Contacts