Video structured description: a novel solution for visual surveillance

  • Authors:
  • Hongzou Zhang;Lin Mei;Chen Liang;Miaomaio Sha;Liying Zhu;Ju Wu;Yixuan Wu

  • Affiliations:
  • The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China;The Third Research Institute of Ministry of Public Security, Shanghai, China

  • Venue:
  • PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
  • Year:
  • 2010

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Abstract

Video structured description was proposed for visual surveillance system in this paper, and a prototype system was also introduced. As a novel video information processing method, it employs knowledge model of certain surveillance scenario and image/video understanding to distill visual knowledge from video. Benefit from knowledge modeling, visual information distilled by the proposed method could be shared by other informative systems much easier than before. A technical overview was given and some key characteristics were also discussed.