• DocumentCode
    1658611
  • Title

    SSIM-based adaptive quantization in HEVC

  • Author

    Chuohao Yeo ; Hui Li Tan ; Yih Han Tan

  • Author_Institution
    Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2013
  • Firstpage
    1690
  • Lastpage
    1694
  • Abstract
    HEVC is an emerging video coding standard that can achieve significant compression gains compared to H.264/AVC due to the inclusion of numerous new coding tools. In particular, it allows for a flexible quadtree based block partitioning of each coding tree unit (CTU) and an ability to switch quantization parameters (QP) on a sub-CTU level. In this paper, we present an approach for selecting quantization parameters for each block of pixels on the basis of optimizing the SSIM of the entire picture. Our simulation results show that when SSIM is the quality metric, the proposed approach is able to give average BD-Rate gains of 5.5% to 7.4% compared to using a constant QP per picture while having a negligible increase in encoding runtime. In addition, our proposed method also significantly outperforms the MPEG-2 TM5 adaptive quantization algorithm implemented in the HEVC reference software.
  • Keywords
    encoding; quadtrees; quantisation (signal); video coding; H.264/AVC; HEVC reference software; MPEG-2 TM5 adaptive quantization algorithm; SSIM-based adaptive quantization; average BD-rate gains; coding tree unit; compression gains; encoding runtime; flexible quadtree based block partitioning; new coding tools; quality metric; subCTU level; switch quantization parameters; video coding standard; Encoding; Measurement; Quantization (signal); Runtime; Standards; Transform coding; Video coding; Adaptive quantization; HEVC; Rate distortion optimization; SSIM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637940
  • Filename
    6637940