• DocumentCode
    495495
  • Title

    Shot-Change Detections and Shot-Change Effects Recognition based on Motions and Their Estimation Reliabilities

  • Author

    Aoki, Kyota

  • Author_Institution
    Grad. Sch. of Eng., Utsunomiya Univ., Utsunomiya, Japan
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    194
  • Lastpage
    198
  • Abstract
    There are many shot-change detection methods. They work well in videos without large motions and fast camera works. This paper proposes more robust method for detecting shot changes and recognizing their shot-change effects. The method uses the motion between frames and their estimation reliabilities. With motion estimation, we can have the correspondence between frames. But we have false estimation when there is a shot-change between frames. The proposed method estimates the reliabilities of the motion estimation. With the reliabilities, the proposed method estimates the probabilities of correspondence between frames. This reliability and the estimated motions lead the estimation of existence of shot-changes and the type of shot-change effects. First, this paper proposes the shot-change detection method based on the motions and their estimation reliabilities. Then we show the experiments on simulated videos and real videos. And last, we conclude our work.
  • Keywords
    motion estimation; object detection; object recognition; probability; video signal processing; false estimation; motion estimation reliability; probability; shot-change detection; shot-change effect recognition; video signal processing; Animation; Cameras; Character generation; Colored noise; Gunshot detection systems; Image sequences; Motion detection; Motion estimation; Reliability engineering; Videos; motion estimation; shot change detection; space-time image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.504
  • Filename
    5170986