• DocumentCode
    341897
  • Title

    Scene determination based on video and audio features

  • Author

    Lienbart, R. ; Pfeiffer, Silvia ; Effelsberg, Wolfgang

  • Author_Institution
    Intel Res. Lab., Santa Clara, CA, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    685
  • Abstract
    Determining automatically what constitutes a scene in a video is a challenging task, particularly since there is no precise definition of the term “scene”. It is left to the individual to set attributes shared by consecutive shots which group them into scenes. Certain basic attributes such as dialogs, like settings and continuing sounds are consistent indicators. We have therefore developed a scheme for identifying scenes by clustering shots according to detected dialogs, like settings and similar audio. Results from experiments show automatic identification of these types of scenes to be reliable
  • Keywords
    content-based retrieval; multimedia databases; video databases; audio features; automatic scene identification; consecutive shots; content based analysis; continuing sounds; dialogs; experiments; multimedia; scene determination; shot clustering; video features; Atomic measurements; Clustering algorithms; Gunshot detection systems; Humans; Layout; Video sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1999. IEEE International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    0-7695-0253-9
  • Type

    conf

  • DOI
    10.1109/MMCS.1999.779282
  • Filename
    779282