• DocumentCode
    2666325
  • Title

    Low complexity H.264/AVC spatial resolution transcoding in the transform domain

  • Author

    Bacquet, A.-S. ; Deknudt, C. ; Corlay, P. ; Coudoux, F.-X. ; Gazalet, M.

  • Author_Institution
    OAE Dept., Univ. of Valenciennes, Valenciennes, France
  • fYear
    2010
  • fDate
    12-15 Dec. 2010
  • Firstpage
    491
  • Lastpage
    494
  • Abstract
    In this paper, we propose a novel efficient downsizing video transcoder for H.264/AVC low bit-rate compressed images. The algorithm accounts for new coding tools introduced by the H.264/AVC standard and applies directly on the transformed coefficients, thus reducing greatly the computational complexity of the transcoding algorithm. In a first approach, we restrict ourselves to 4×4 blocks intra-coded frames. Simulation results are presented to illustrate the performances of the proposed method. In particular, we show that the computational complexity is greatly reduced compared to the optimal full decode-full recode approach, while giving similar reconstructed video quality at low bit rates.
  • Keywords
    computational complexity; data compression; transcoding; video coding; H.264/AVC low bit-rate compressed images; computational complexity; low complexity H.264/AVC spatial resolution transcoding; optimal full decode-full recode approach; transcoding algorithm; transform domain; video transcoder; Automatic voltage control; Encoding; IIR filters; Lead; Prediction algorithms; Time division multiplexing; MPEG-4/H.264 AVC; spatial resolution reduction; transcoding architecture; video transcoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-8155-2
  • Type

    conf

  • DOI
    10.1109/ICECS.2010.5724556
  • Filename
    5724556