• DocumentCode
    79292
  • Title

    H.264-based hierarchical two-layer lossless video coding method

  • Author

    Wei-Da Chien ; Ke-Ying Liao ; Jar-Ferr Yang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    8
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    21
  • Lastpage
    29
  • Abstract
    An efficient lossless coding technique is very important for storage and transmission applications of error sensitive information such as medical, seismic and digital artistic data. In this study, the authors proposed an H.264-based advance video coding (H.264/AVC)-based hierarchical lossless coding method, where the input video will be firstly encoded by H.264/AVC coder with a quantisation parameter (QP) selector in the base layer and the coded error is encoded by a QP-adaptive Rice coder in the enhancement layer. To reduce encoding time, the QP selector can be simplified to select the nearly optimal QP. Simulation results show that the proposed hierarchical lossless coding architecture achieves better compression ratio than the traditional H.264/AVC-based lossless coding systems. Since the proposed system could provide both lossy and lossless coding services at the same time, the proposed lossless video coding system has advantages of efficiency and flexibility for practical applications. Experimental results show that the proposed coding system can provide less coding bits and reduce coding complexity compare with H.264-differential pulse code modulation.
  • Keywords
    adaptive codes; data compression; video coding; H.264-based advance video coding; H.264-based hierarchical two-layer lossless video coding method; H.264-differential pulse code modulation; H.264/AVC-based hierarchical lossless coding method; H.264/AVC-based lossless coding systems; QP selector; QP-adaptive Rice coder; base layer; compression ratio; digital artistic data; error sensitive information; hierarchical lossless coding architecture; lossless coding services; quantisation parameter selector;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2013.0088
  • Filename
    6726162