A unified framework for semantic shot representation of sports video

  • Authors:

  • Xiaofeng Tong;Qingshan Liu;Lingyu Duan;Hanqing Lu;Changsheng Xu;Qi Tian

  • Affiliations:

  • Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Institute for Infocomm Research, Singapore;Chinese Academy of Sciences, Beijing, China;Institute for Infocomm Research, Singapore;Institute for Infocomm Research, Singapore

  • Venue:
  • Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
  • Year:
  • 2005

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Abstract

The development of mid-level shot description helps to bridge the gap between low-level feature and high-level semantics in video indexing and analysis. In this paper, we present a unified framework for semantic shot representation in field-ball sports genres, in which a video shot is characterized via three essential properties, namely, camera shot size, subject in a scene and video production technology. The three properties clearly represent the primary factors of a shot, and provide a unified viewpoint of semantic shot definition. Based on this framework, we design an effective architecture for semantic shot management comprising three main components as: 1) flexible shot clustering and retrieval by adjusting the weights of three properties according to different requirements; 2) semantics based video temporal segmentation for further event recognition; and 3) comprehensive sports video semantics analysis. Extensive experiments on soccer, basketball and tennis demonstrate the effectiveness and validity of this framework.