• DocumentCode
    727007
  • Title

    Improved block level adaptive quantization for high efficiency video coding

  • Author

    Miaohui Wang ; King Ngi Ngan ; Hongliang Li ; Huanqiang Zeng

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    As the concept of block level adaptivity becomes an important feature in recent video CODECs, block level adaptive quantization (BLAQ) is being considered in the High Efficiency Video Coding (HEVC) standard. The BLAQ is based on the assumption that each block should have its own quantization parameter (QP), which can adapt to the local content of video sequences much better, and hence the video encoder with adaptive QP can perform a better perceptual quality. However, in the HEVC reference software, the BLAQ is required to obtain a proper QP for each block by the rate distortion optimization (RDO) scheme and so the computational complexity of the encoder increases significantly. In this paper, an improved BLAQ algorithm is proposed to obtain the adaptive QP for each block. The simulation results show that the proposed method can save more bits as well as require lower computational complexity, compared to the traditional method.
  • Keywords
    computational complexity; image sequences; optimisation; quantisation (signal); rate distortion theory; video codecs; video coding; BLAQ algorithm; HEVC standard; RDO scheme; adaptive QP; computational complexity; high efficiency video coding standard; improved block level adaptive quantization; local video sequence content; perceptual quality; quantization parameter; rate distortion optimization scheme; video CODEC; video encoder; Computational complexity; Distortion; Encoding; Quantization (signal); Rate-distortion; Transforms; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7168682
  • Filename
    7168682