• DocumentCode
    2971906
  • Title

    An adaptive decomposition method for video

  • Author

    Tulabandu, Ranjit Kumar ; Ashwin, A.C. ; Ramakrishnan, K.R.

  • Author_Institution
    Indian Inst. of Sci. Bangalore, Bangalore
  • fYear
    2007
  • fDate
    10-13 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Scalable video coding (SVC) is an emerging standard built on the success of advanced video coding standard (H.264/AVC) by the Joint video team (JVT). Motion compensated temporal filtering (MCTF) and Closed loop hierarchical B pictures (CHBP) are two important coding methods proposed during initial stages of standardization. Either of the coding methods, MCTF/CHBP performs better depending upon noise content and characteristics of the sequence. This work identifies other characteristics of the sequences for which performance of MCTF is superior to that of CHBP and presents a method to adaptively select either of MCTF and CHBP coding methods at the GOP level. This method, referred as "Adaptive Decomposition" is shown to provide better R-D performance than of that by using MCTF or CHBP only. Further this method is extended to non- scalable coders.
  • Keywords
    code standards; filtering theory; motion compensation; video coding; H.264/AVC; adaptive decomposition method; closed loop hierarchical B pictures; joint video team; motion compensated temporal filtering; non- scalable coders; scalable video coding; Automatic voltage control; Decoding; IEC standards; ISO standards; Noise reduction; Signal resolution; Standardization; Static VAr compensators; Video coding; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications & Signal Processing, 2007 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0982-2
  • Electronic_ISBN
    978-1-4244-0983-9
  • Type

    conf

  • DOI
    10.1109/ICICS.2007.4449594
  • Filename
    4449594