• DocumentCode
    2832687
  • Title

    Fade Scene Change Detection using Luminance Histogram Bin

  • Author

    Kompreyarat, W. ; Srinonchat, J.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Rajamangala Univ. of Technol., Thanyaburi
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    39
  • Lastpage
    43
  • Abstract
    Partitioning video sequence is very important for video applications such as video indexing, retrieval or editing. A lot of techniques have been presented based on information such as structures of the image, image histogram and intensity statistics etc. The histogram-based technique is generally used due to computation complexity when compare with other techniques is less, and most of image processing applications, image histogram have been already computed. This paper presents a new technique to detect the fade scene change from the video scene that contain noise and/or contain logo and compared it with other algorithm that using histogram. The result showed that the proposed algorithm is much better.
  • Keywords
    image segmentation; image sequences; video signal processing; fade scene change detection; image histogram; luminance histogram bin; video editing; video indexing; video retrieval; video scene; video sequence partitioning; Application software; Change detection algorithms; Computer science; Histograms; Indexing; Information retrieval; Information technology; Layout; Statistics; Video sequences; Fade Scene Change; Scene Change Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.159
  • Filename
    4624829