• DocumentCode
    1743403
  • Title

    Lighting change problem in shot detection

  • Author

    Li, Dalong ; Lu, Hanqing

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    541
  • Abstract
    A lot of work has been done to address shot detection, e.g. pixel-by-pixel comparisons and histogram comparisons. But gray or color histograms ignore the problem caused by lighting condition variations inherent in the video production process especially in TV news reports. So they often can be confused when such incidents occur. Color Ratio Histogram is proposed to address the issue. However it is rather computationally expensive. Three methods are proposed in this paper. The first one takes the advantage of the lasting time of the illumination variation and the second one takes into consideration the regulation of the change of gray level of blocks in the consecutive images due to lighting condition variation. The last uses another illumination invariant metric to deal with the problem. The effectiveness of the methods is validated by experiments on some real-world video sequences
  • Keywords
    content-based retrieval; edge detection; image retrieval; image segmentation; image sequences; video on demand; TV news reports; color ratio histogram; consecutive images; gray level; illumination invariant metric; lasting time; lighting change problem; real-world video sequences; shot detection; video production process; Automation; Cameras; Color; Gunshot detection systems; Histograms; Lighting; Pattern recognition; Pixel; Streaming media; Video on demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
  • Conference_Location
    Jounieh
  • Print_ISBN
    0-7803-6542-9
  • Type

    conf

  • DOI
    10.1109/ICECS.2000.911597
  • Filename
    911597