• DocumentCode
    436550
  • Title

    Shot classification in sports video

  • Author

    Tong, Xiao-Feng ; Liu, Qing-Shan ; Lu, Han-Qing ; Jin, Hong-Liang

  • Author_Institution
    Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1364
  • Abstract
    Shot classification and transition context analysis are fundamental work for video structure and content analysis. In this paper, we present an effective hierarchical shot classification scheme based on replay and nonreplay as viewed from video editing and semantics in sports video. The scheme facilitates video semantics analysis with giving prominence to replay. Firstly, a shot is categorized into replay or nonreplay class by replay-logo pairing. The replay-logo can be automatically extracted from the sports video in advance. Then, nonreplay shots are further classified into long, medium, close-up or out-field type, each one of which indicates certain semantics respectively. Every type of shot is intrinsically characterized by effective features. Extensive experiments have demonstrated the method´s validity and effectiveness.
  • Keywords
    feature extraction; image classification; image segmentation; sport; video signal processing; feature extraction; replay-logo pair; shot classification; sports video editing; transition context analysis; video semantics analysis; Area measurement; Automation; Event detection; Games; Gunshot detection systems; Laboratories; Pattern analysis; Pattern recognition; Production; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441579
  • Filename
    1441579