• DocumentCode
    3326320
  • Title

    Direction-adaptive transforms for coding prediction residuals

  • Author

    Cohen, Robert A. ; Klomp, Sven ; Vetro, Anthony ; Sun, Huifang

  • Author_Institution
    Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    In this paper, we present 2-D direction-adaptive transforms for coding prediction residuals of video. These Direction-Adaptive Residual Transforms (DART) are shown to be more effective than the traditional 2-D DCT when coding residual blocks that contain directional features. After presenting the directional transform structures and improvements to their efficiency, we outline how they are used to code both Inter and Intra prediction residuals. For Intra coding, we also demonstrate the relation between the prediction mode and the optimal DART orientation. Experimental results exhibit up to 7% and 9.3% improvements in compression efficiency in JM 16.0 and JM-KTA 2.6r1 respectively, as compared to using only the conventional H.264/AVC transform.
  • Keywords
    adaptive codes; discrete cosine transforms; transform coding; video coding; 2D DCT; 2D direction-adaptive transforms; coding prediction residuals; coding residual blocks; direction adaptive transforms; direction-adaptive residual transforms; directional transform structures; interprediction residual; intracoding; intraprediction residual; optimal DART orientation; Automatic voltage control; Correlation; Discrete cosine transforms; Encoding; Image coding; Indexes; H.264/AVC; Video coding; directional transforms; discrete cosine transforms; prediction residuals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651058
  • Filename
    5651058