• DocumentCode
    2703945
  • Title

    Dissolve Detection Based Shot Identification Using Singular Value Decomposition

  • Author

    Padalkar, Milind G. ; Zaveri, Mukesh A.

  • Author_Institution
    Comput. Eng. Dept., Sardar Vallabhbhai Nat. Inst. of Technol., Surat, India
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    312
  • Lastpage
    316
  • Abstract
    Today, with the availability of large amount of video files, searching for videos with desired content is becoming a tedious task. The viewers require better control over the video data and for this reason the video browsing and indexing applications are being developed. These applications are required to segment the video into shots in the initial step. Shot boundary detection for shots separated by abrupt changes has been successful to a large extent, but detecting shot boundaries with gradual transitions in between, has been very challenging. In this paper, we propose a dual stage divide-and-merge approach to detect shots joined by dissolve type transitions. In the first stage we declare the video frames to be of either dissolve type or non-dissolve type. Later, we iteratively combine the sequences of non-dissolve frames that constitute the different shots. For experimental purpose, we have used the videos downloaded from the free video sharing website YouTube. The experimental results prove that the proposed technique is indeed effective.
  • Keywords
    Analytical models; Asia; Cameras; Gunshot detection systems; Histograms; Indexing; Singular value decomposition; Video sequences; Video sharing; Videoconference; Dissolve Detection; Histogram; Shot Identification; Singular Value Decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Print_ISBN
    978-1-4244-7196-6
  • Type

    conf

  • DOI
    10.1109/AMS.2010.69
  • Filename
    5489189