• DocumentCode
    2015184
  • Title

    Modified distortion redistribution problem for High Efficiency Video Coding(HEVC)

  • Author

    Sun, Lin ; Au, Oscar C. ; Dai, Wei ; Zou, Ruobing ; Li, Sijin

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2012
  • fDate
    17-19 Sept. 2012
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    Adaptive quantization matrix design for different block sizes is one of the possible methods to improve the RD performance in video coding and has recently attracted the focus of many researchers. In this paper, we first analyze the shortcomings of the evenly distributed distortion method which was proposed recently. In order to tackle these problems, we propose two modified methods, method I with relaxed distortion constraints and method II is iterative boundary distortion minimization problem considering variance adaptively. Both problems can be solved using convex optimization effectively and efficiently. Simulations have been conducted based on HM4.0, which is the reference software of the latest High Efficiency Video Coding (HEVC). Simulation results show the effect of our proposed methods. Both methods show their significance when evaluated by RD performance.
  • Keywords
    convex programming; distributed processing; iterative methods; matrix algebra; video coding; HEVC; HM4.0; adaptive quantization matrix design; convex optimization; distributed distortion method; high efficiency video coding; iterative boundary distortion minimization problem; modified distortion redistribution problem; Convex functions; Discrete cosine transforms; Frequency domain analysis; Image coding; Quantization; Standards; Video coding; Boundary distortion; Convex optimization; Distortion redistribution; HEVC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2012 IEEE 14th International Workshop on
  • Conference_Location
    Banff, AB
  • Print_ISBN
    978-1-4673-4570-5
  • Electronic_ISBN
    978-1-4673-4571-2
  • Type

    conf

  • DOI
    10.1109/MMSP.2012.6343454
  • Filename
    6343454