• DocumentCode
    2197227
  • Title

    An integrated method for video shot boundary detection

  • Author

    Zhu, Lei ; Qu, Junfeng ; Rahman, Muhammad Asadur ; Hong, Weihu

  • Author_Institution
    Coll. of Inf. & Math. Sci., Clayton State Univ., Morrow, GA, USA
  • fYear
    2010
  • fDate
    18-21 March 2010
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    Video shot boundary detection, which segments a video by detecting boundaries between camera shots, is usually the first and important step for content-based video retrieval. This paper investigates methods which are effective in detecting abrupt transitions and gradual transitions, respectively, and proposes an integration scheme to combine their results, aiming to detect both types of transitions.
  • Keywords
    video retrieval; camera shots; content-based video retrieval; video shot boundary detection; Cameras; Content based retrieval; Gunshot detection systems; Histograms; Humans; Image segmentation; Information retrieval; Layout; Video sharing; YouTube; abrupt transitions; cuts; dissolves; fades; gradual transitions; video shot boundary detection; wipes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
  • Conference_Location
    Concord, NC
  • Print_ISBN
    978-1-4244-5854-7
  • Type

    conf

  • DOI
    10.1109/SECON.2010.5453813
  • Filename
    5453813