• DocumentCode
    3225649
  • Title

    Drift Characterization of Intra Prediction and Quantization in H.264

  • Author

    Leontaris, Athanasios ; Tourapis, Alexis M.

  • Author_Institution
    Dolby Lab. Inc, San Francisco
  • fYear
    2008
  • fDate
    25-27 March 2008
  • Firstpage
    212
  • Lastpage
    221
  • Abstract
    The combination of intra prediction, transform, and quantization in the H.264/AVC video coding standard offers high compression performance in picture areas where inter prediction is unavailable or fails. Motivated from coding experiments with the reference software that resulted in significant visual distortion with certain types of content, we investigated intra prediction further. Intra prediction may propagate distortion to subsequent blocks or macroblocks. As a result, rate-distortion optimized mode decision needs to account for this distortion. Furthermore, rounding operations in H.264/AVC accumulate small but non-trivial errors. This is especially true for the encoding process of the 16 times 16 intra prediction mode, which involves a combination of DCT and Hadamard transforms. We investigate, theoretically and experimentally, the problem of visual distortion caused by sub-optimal intra prediction coding decisions by modeling distortion propagation across subsequent blocks. We propose two algorithms that address the problem.
  • Keywords
    Hadamard transforms; discrete cosine transforms; vector quantisation; video coding; DCT transform; H.264 AVC video coding; Hadamard transform; compression performance; distortion propagation; drift characterization; encoding; intraprediction; macroblocks; quantization; rate distortion optimized mode decision; rounding operation; visual distortion; Automatic voltage control; Data compression; Discrete cosine transforms; Encoding; Image coding; Laboratories; Quadratic programming; Quantization; Rate-distortion; Video coding; Drift; H.264; intra prediction; quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2008. DCC 2008
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-0-7695-3121-2
  • Type

    conf

  • DOI
    10.1109/DCC.2008.53
  • Filename
    4483299