• DocumentCode
    2243542
  • Title

    Content-Clipping System Using Multi-modal Analysis

  • Author

    Ando, Haru ; Fujita, Keiko ; Yamagishi, Junko ; Ishikawa, Taro

  • Author_Institution
    Central Res. Lab., Hitachi, Ltd.,
  • fYear
    2006
  • fDate
    5-7 July 2006
  • Firstpage
    369
  • Lastpage
    371
  • Abstract
    We report on the development of a content authoring system for clipping parts that a user requires from audio-visual e-learning contents. The system can analyze lengthy contents for e-learning by using the contents and information related to the contents. It lets the user easily find parts that he/she wants via the user interface. This system enables users to peruse only the required part of the lesson content, which should improve the efficiency of studying
  • Keywords
    audio-visual systems; authoring systems; content-based retrieval; educational aids; educational technology; user interfaces; audio-visual e-learning contents; content authoring system; content-clipping system; multimodal analysis; user interface; Audio recording; Authoring systems; Broadband communication; Data mining; Electronic learning; Information analysis; Speech analysis; Speech recognition; Text recognition; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2006. Sixth International Conference on
  • Conference_Location
    Kerkrade
  • Print_ISBN
    0-7695-2632-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2006.1652447
  • Filename
    1652447