• DocumentCode
    2241498
  • Title

    Combining Caption and Visual Features for Semantic Event Classification of Baseball Video

  • Author

    Lie, Wen-Nung ; Shia, Sheng-Hsiung

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Ming-Hsiung
  • fYear
    2005
  • fDate
    6-6 July 2005
  • Firstpage
    1254
  • Lastpage
    1257
  • Abstract
    In baseball game, an event is defined as the portion of video clip between two pitches, and a play is defined as a batter finishing his plate appearance. A play is a concatenation of many events, and a baseball game is formed by a series of plays. In this paper, only the event happened in the last pitch of a plate appearance is detected. It is then semantically classified to represent the corresponding play by using an algorithm integrating caption rule-inference and visual feature analysis. Our proposed system is capable of classifying each baseball play into eleven semantic categories, which are popular and familiar to most of the audiences. In an experiment of 260 testing plays, the classification rate achieves up to 87%
  • Keywords
    computer games; feature extraction; image classification; inference mechanisms; video signal processing; baseball video game; caption rule-inference; semantic category; semantic event classification; visual feature analysis; Algorithm design and analysis; Cameras; Content management; Event detection; Finishing; Games; Kernel; Object detection; Testing; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-9331-7
  • Type

    conf

  • DOI
    10.1109/ICME.2005.1521656
  • Filename
    1521656