• DocumentCode
    1867827
  • Title

    An analysis of scene change detection in HEVC bitstream

  • Author

    Eom, Yumi ; Park, Sangil ; Sunggeun Yoo ; Jin Soo Choi ; Sukhee Cho

  • Author_Institution
    Dept. of Electron. IT Media Eng., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
  • fYear
    2015
  • fDate
    7-9 Feb. 2015
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    An improved method of scene change detection (SCD) is required for content-based video analysis, indexing, searching and editing. Many researchers have suggested various SCD techniques in recent years. However, it is difficult to detect a scene change in the video context with a variety of camera movements and shot transitions. Moreover, data volume becomes an issue in the influx of ultra-high definition (UHD) video with the resolution of 4K (3820×2160) or larger formats. The traditional SCD approach takes too much time to run with UHD video. In this paper four different SCD methods are suggested for UHD video which is coded with advanced codec programs. Then, the analysis of traditional SCD methods is presented. And these experimental SCD techniques for UHD video bit streams are tested with the different structures of advanced video codecs. Finally, the experiments are conducted to evaluate the performances of the techniques.
  • Keywords
    feature extraction; image resolution; video cameras; video codecs; video coding; HEVC bitstream; SCD; UHD video bit streams; camera movements; codec programs; data volume; high efficiency video coding; scene change detection; shot transitions; ultra-high definition video; video codecs; video resolution; Cameras; Codecs; Encoding; Noise measurement; Tin; Vectors; Video coding; HEVC; Scene Change Detection; UHD video; bitstream;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2015 IEEE International Conference on
  • Conference_Location
    Anaheim, CA
  • Type

    conf

  • DOI
    10.1109/ICOSC.2015.7050854
  • Filename
    7050854