• DocumentCode
    2759477
  • Title

    Semantic Event Mining in Soccer Video Based on Multiple Feature Fusion

  • Author

    Hua-Yong, Liu ; Tingting, He

  • Author_Institution
    Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    In this paper, we present a football event detection method by using multiple feature extraction and fusion. Instead of using low-level features, the proposed method is built upon visual, auditory features, text and audio keywords. Promising event detection results have been achieved. By using the proposed method, we have been able to detect the football events accurately. Experimental results have shown our proposed method is effective for football event detection.
  • Keywords
    data mining; feature extraction; image fusion; object detection; video signal processing; football event detection method; low-level features; multiple feature extraction; multiple feature fusion; semantic event mining; soccer video; Computer science; Event detection; Feature extraction; Games; Indexing; Information technology; Speech recognition; Streaming media; Support vector machines; Videoconference; Multiple Feature Fusion; Semantic Event Mining; Soccer Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.280
  • Filename
    5190238