• DocumentCode
    3341660
  • Title

    Distance-based weighted prediction for Adaptive Intra Mode Bit Skip in H.264/AVC

  • Author

    Po, Lai-Man ; Wang, Liping ; Cheung, Kwok-Wai ; Wong, Ka-Man ; Ng, Ka-Ho ; Li, Shenyuan ; Ting, Chi-Wang

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    2869
  • Lastpage
    2872
  • Abstract
    Adaptive Intra Mode Bit Skip (AIMBS) technique using boundary pixels smoothness has been shown to achieve coding efficiency improvement for H.264/AVC´s Intra_4×4 coding in relatively large QPs. However, the DC mode in the Multiple-Prediction of the AIMBS becomes much less effective. To tackle this problem and further improve the coding efficiency, distance-based weighted prediction (DWP) is proposed to replace DC mode in Multiple-Prediction for predicting blocks without directional preferences. The proposed method is named as AIMBS-DWP that can enhance the robustness of AIMBS in much larger range of QPs and achieve higher rate-distortion performance. Experimental results show that an average bitrate reduction of 3.79% with lower computational requirement can be obtained by AIMBS-DWP as compared with H.264/AVC. The improvement is especially obvious in high visual quality configurations with small QPs.
  • Keywords
    video coding; H.264/AVC; adaptive intra mode bit skip; block prediction; boundary pixels smoothness; distance-based weighted prediction; multiple-prediction; Accuracy; Automatic voltage control; Bit rate; Encoding; Image coding; Pixel; Video coding; H.264/AVC; intra prediction; mode bit skip; video coding; weighted prediction;
  • 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.2010.5651941
  • Filename
    5651941