• DocumentCode
    2931616
  • Title

    Automatic evaluation method for rushes summary content

  • Author

    Dumont, Emilie ; Mérialdo, Bernard

  • Author_Institution
    Dept. Commun. Multimedia, Inst. Eurecom, Sophia-Antipolis, France
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    666
  • Lastpage
    669
  • Abstract
    During the last years, the development of rushes video summarization systems has greatly increased thanks to the international evaluation campaign TRECVID. In this paper, we propose an automation of the manual TRECVID evaluation using machine learning techniques. We train an automatic assessor to perform evaluation on summary content and we show a high correlation between the manual evaluation performed in TRECVID 2008 and our automatic assessor.
  • Keywords
    learning (artificial intelligence); video signal processing; TRECVID evaluation; automatic assessor; automatic evaluation method; machine learning techniques; rushes summary content; video summarization system; Automation; Cameras; Humans; Machine learning; Manuals; Particle measurements; Performance evaluation; Qualifications; Rhythm; Watches; TRECVID; Video summarization; evaluation; machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202584
  • Filename
    5202584