• DocumentCode
    2510054
  • Title

    Data mining framework for video data

  • Author

    Saravanan, D. ; SRINIVASAN, SUDARSHAN

  • Author_Institution
    Sathyabama Univ., Chennai, India
  • fYear
    2010
  • fDate
    13-15 Nov. 2010
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Content-based video analyzing and retrieval are important technologies, which have been an international research focus in recent ten years. It is needed urgently the advanced technologies for organizing, analyzing, representing, indexing, filtering, retrieving and mining the vast amount of videos to retrieve specific information based on video content effectively, and to provide better ways for entertainment and multimedia applications. Although numerous papers have been published on data mining few of them deal with video mining is focusing on low features, such as color, texture, audio and motion. Due to the inherent complexity of video data, existing data mining algorithms and techniques cannot be used directly in video. In this paper we try to focus new mining techniques designed to facilitate the video data mining process.
  • Keywords
    content-based retrieval; data mining; indexing; information filtering; video retrieval; content-based video analyzing; content-based video retrieval; entertainment; multimedia applications; video analysis; video data mining; video filtering; video indexing; video organization; video representation; Classification algorithms; Data mining; Databases; Histograms; Image color analysis; Semantics; Streaming media; Association Mining; Histogram; Mining Frame work; Video Data Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-9184-1
  • Type

    conf

  • DOI
    10.1109/RSTSCC.2010.5712827
  • Filename
    5712827