• DocumentCode
    2916756
  • Title

    Application of AI Algorithm in Video Indexing and Retrieval

  • Author

    Xuemei, Li ; Yan, Li ; Jincheng, Li

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    686
  • Lastpage
    688
  • Abstract
    Due to the rapid technological developments in image/video capturing, huge data storage, video compression and networking, huge amount of video data are produced each day all over the world. Finding effective ways to store, index and retrieve these video remains a hot researching area. It is especially important for the producers/editors of television programs, since to keep track of the 1000´s of short video clips that are used to make a film without help from the computer is unimaginable. Typically 25 hours worth of material is required for a 50-minute show. For this reason, the producers/editors must be able to store these video clips efficiently, and be able to quickly locate and retrieve the necessary clips when editing. The ways to store and index the video clips with the extracted features, and the ways to retrieve them quickly and correctly on the user´s query, are introduced in this paper.
  • Keywords
    artificial intelligence; data compression; indexing; video coding; video retrieval; AI algorithm; data storage; feature extraction; image capturing; networking; television programs; video capturing; video compression; video indexing; video retrieval; Artificial intelligence; Data mining; Databases; Feature extraction; Image retrieval; Image segmentation; Indexing; Information retrieval; TV; Video compression; AI Algorithms; application; extracted features; vedio indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.522
  • Filename
    5369401