• DocumentCode
    591048
  • Title

    Laplacian-based H.264 intra-prediction mode decision

  • Author

    Chi-Chou Kao ; Yen-Tai Lai ; Chao-Feng Tseng

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Tainan, Tainan, Taiwan
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    Compared with the conventional video coding standards, H.264 provide new coding techniques, such as Multi-picture inter-picture prediction, Variable block-size, Quarter-pixel precision for motion compensation, intra prediction, Context-adaptive variable-length coding and Context-adaptive binary arithmetic coding. Intra coding is used for reducing the spatial redundancy in video coding. H.264 supports several MB (Macroblock) predictions for Intra coding such as luma block four 16×16 modes, nine 4×4 modes and chroma block four modes, which significantly improve Intra coding efficiency, but increase the encoding complexity. This paper presents an approach to the intra mode decision problem. Based on Laplacian, this approach detects edges and then selects the best mode for the block. This method can shorten the time to choose a mode and reduce the encoding time as well.
  • Keywords
    computational complexity; edge detection; motion compensation; video coding; Laplacian-based H.264 intraprediction mode decision; context-adaptive binary arithmetic coding; context-adaptive variable-length coding; edge detection; encoding complexity; intracoding; intramode decision problem; motion compensation; multipicture interpicture prediction; quarter-pixel precision; variable block-size; video coding; Bit rate; Encoding; Image edge detection; Prediction algorithms; Signal to noise ratio; Standards; Video coding; H.264; Laplacian; intra mode; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on
  • Conference_Location
    Kun Ming
  • Print_ISBN
    978-1-4673-2698-8
  • Electronic_ISBN
    978-1-4673-2697-1
  • Type

    conf

  • DOI
    10.1109/ChinaCom.2012.6417561
  • Filename
    6417561