• DocumentCode
    3268778
  • Title

    The LIGVID System for video retrieval and concept annotation

  • Author

    Ayache, Stephane ; Quénot, Georges ; Tseng, Andy

  • Author_Institution
    LIG - Lab. d´´Inf. de Grenoble, Grenoble, France
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The LIGVID system is designed for online interactive video shots retrieval and annotation. It uses a user-controlled combination of multiple criteria: keywords, phonetic string, similarity to example images, semantic categories, and relevance feedback strategies: visual and temporal similarity to already identified positive images. In addition to Relevance Feedback processes, the system runs in background an active learning algorithm to better model the user´s information need. Previous participation to video retrieval challenges has permit to show the effectiveness of our system.
  • Keywords
    information needs; interactive systems; learning (artificial intelligence); relevance feedback; video retrieval; LIGVID system; active learning algorithm; concept annotation; online interactive video shots retrieval; relevance feedback process; user controlled combination; user information need; Automatic speech recognition; Bridges; Control systems; Feedback loop; Focusing; Indexing; Natural languages; Output feedback; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing (CBMI), 2010 International Workshop on
  • Conference_Location
    Grenoble
  • ISSN
    1949-3983
  • Print_ISBN
    978-1-4244-8028-9
  • Electronic_ISBN
    1949-3983
  • Type

    conf

  • DOI
    10.1109/CBMI.2010.5529885
  • Filename
    5529885