• DocumentCode
    2750265
  • Title

    Fast adaptive GOP design for H.264/SVC

  • Author

    Ding, Jun-Ren ; Yang, Jar-Ferr

  • Author_Institution
    Inst. of Comput. & Commun. Eng., Tainan
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 2 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to concurrently provide different video services for diverse access devices, the scalable quality and complexity services in a single bit stream offered by H.264-based scalable video coding (H.264/SVC) has gained a lot of attentions recently. However, the motion-compensated temporal filtering (MCTF) structure consumes a large amount of operation time when combined with Core Experiment 2 (CE2), which implements adaptive GOP detection (AGD). In this paper, we suggest a video content variation (VCV) feature to implement fast AGD method by using block-based classification before executing MCTF. Based on the JSVM 7.0 software, the simulation results show that the proposed method reduces about 67% of the operation time consumed on average as compared to the CE2.
  • Keywords
    feature extraction; filtering theory; image classification; image motion analysis; video coding; H.264; JSVM 7.0 software; adaptive GOP detection; block-based classification; motion-compensated temporal filtering structure; scalable video coding; video content variation feature; Automatic voltage control; Concurrent computing; Filter bank; Filtering; Motion estimation; Scalability; Static VAr compensators; Streaming media; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2007 - 2007 IEEE Region 10 Conference
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-1272-3
  • Electronic_ISBN
    978-1-4244-1272-3
  • Type

    conf

  • DOI
    10.1109/TENCON.2007.4428784
  • Filename
    4428784