• DocumentCode
    481773
  • Title

    A Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams

  • Author

    Jie, Feng ; Aiai, Huang ; Yaowu, Chen

  • Author_Institution
    Inst. of Adv. Digital Technol. & Instrum., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    712
  • Lastpage
    716
  • Abstract
    In this paper, we present a novel scene change detection algorithm in the H.264/AVC compressed domain directly. Three major statistical features are used: (i) bit allocation for intra mode macroblocks (BIM), (ii) bit allocation for inter mode macroblocks (BPM), and (iii) the number of skip mode macroblocks in a frame. These features can be easily extracted from the H.264/AVC bitstreams. Besides the percent of skip macroblocks in a frame, an adaptive threshold based on the ratio of BIM to BPM is used to determine the abrupt and the gradual scene changes respectively. Experimental results indicate that the proposed algorithm achieves the good performance with a low computational complexity.
  • Keywords
    data compression; feature extraction; statistical analysis; video coding; H.264/AVC bitstreams; adaptive threshold; bit allocation; compressed domain; gradual scene changes; intermode macroblocks; intramode macroblocks; scene change detection; skip mode macroblocks; statistical features; Automatic voltage control; Bit rate; Change detection algorithms; Conferences; Decoding; Detection algorithms; Histograms; Image coding; Layout; Video compression; Adaptive threshold; H.264/AVC; Scene change detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.246
  • Filename
    4756653