• DocumentCode
    1979116
  • Title

    An Improved Fast Intra-prediction Algorithm in H.264/AVC Based on Edge Feature

  • Author

    Zhai, Changying ; Wang, Xiang

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Beihang Univ., Beijing, China
  • Volume
    6
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    353
  • Lastpage
    356
  • Abstract
    H.264/AVC is the newest video coding standard with high compression efficiency. But it can not achieve real-time application because it takes a long time to code with extremely complex algorithm. In this paper, according to the characteristic of intra-prediction algorithm, a fast algorithm based on Edge feature is proposed. To reduce the number of intra-prediction mode, some candidate modes are selected based on the edge features or key edge strength (KES) of the image, and then related RDO is calculated. We also simplify chroma prediction based on the relativity between luma and chroma prediction to further reduce the computational complexity. Experimental results show that the proposed fast intra-prediction algorithm reduces about 80% computation with negligible PSNR degradation and slight bit-rate increment. Compared with the PAN¿s sobel operator based on edge detection algorithm, it also has obvious superiority.
  • Keywords
    computational complexity; data compression; edge detection; video coding; H.264/AVC; chroma prediction; computational complexity; edge detection algorithm; edge feature; improved fast intraprediction algorithm; key edge strength; luma prediction; video coding standard; Automatic voltage control; Computer science; Degradation; IEC standards; ISO standards; Image coding; Image reconstruction; PSNR; Predictive models; Video coding; Edge feature; H.264/AVC; Intra-prediction; Key Edge Strength (KES);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1028
  • Filename
    4723270