• DocumentCode
    2466622
  • Title

    Automatic sports classification

  • Author

    Messer, Kieron ; Christmas, William ; Kittler, Josef

  • Author_Institution
    Surrey Univ., Guildford, UK
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1005
  • Abstract
    ASSAVID is an EU sponsored project which is concerned with the development of a system for the automatic segmentation and semantic annotation of sports video. We describe the method which automatically classifies unknown sports video into the type of sport being played. This is an important task if a fully automatic sports video logging process is to be realised. The proposed technique relies upon the concept of "cues" which attach semantic meaning to low-level features computed on the video. Experimental results on sports video provided by the BBC demonstrate that this method is working well.
  • Keywords
    image classification; image segmentation; sport; video databases; ASSAVID; EU sponsored project; automatic sports classification; cues; experimental results; image segmentation; semantic annotation; semantic meaning; sports video; sports video logging process; video database; Broadcasting; Computer vision; Databases; Engines; Feeds; Information analysis; Layout; Multimedia communication; Production systems; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048475
  • Filename
    1048475