• DocumentCode
    2448374
  • Title

    Integrating Multiple Feature Fusion for Semantic Event Detection in Soccer Video

  • Author

    Liu Hua-Yong ; He Tingting

  • Author_Institution
    Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    Semantic soccer video analysis has attracted more and more attention recently. 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
    content-based retrieval; edge detection; feature extraction; image fusion; sport; support vector machines; text analysis; video retrieval; video signal processing; SVM; audio keyword; auditory feature; content-based video retrieval; football event detection; multiple feature extraction; multiple feature fusion; semantic event detection; soccer video; text feature; visual feature; Artificial intelligence; Data mining; Event detection; Feature extraction; Games; Indexing; Speech recognition; Streaming media; Support vector machines; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.22
  • Filename
    5158956