• DocumentCode
    2907613
  • Title

    A solution to illumination variation problem in shot detection

  • Author

    Yuliang, Geng ; De, Xu

  • Author_Institution
    Inst. of Comput. Sci., Jiao Tong Univ., Beijing, China
  • Volume
    B
  • fYear
    2004
  • fDate
    21-24 Nov. 2004
  • Firstpage
    81
  • Abstract
    Illumination variation problem is a crucial issue in the shot change detection because illumination change often induces a false shot boundary. In this paper, we present an efficient method that utilizes the edge direction histogram to reduce the false shot detection. A measure based on voting rule is defined to compute the similarities of the frame pairs. The experimental results show that our method achieves a high recall and precision with low computational complexity. The selection of two important thresholds is also discussed in detail.
  • Keywords
    computational complexity; edge detection; lighting; computational complexity; edge direction histogram; false shot boundary; illumination variation problem; shot detection; voting rule; Cameras; Computational complexity; Computer science; Gunshot detection systems; Histograms; Information retrieval; Layout; Lighting; Video sharing; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2004. 2004 IEEE Region 10 Conference
  • Print_ISBN
    0-7803-8560-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2004.1414536
  • Filename
    1414536