• DocumentCode
    3400982
  • Title

    Efficient quantization parameter coding based on intra/inter prediction for visual quality conscious video coders

  • Author

    Aoki, Hidetaka

  • Author_Institution
    Inf. & Media Process. Labs., NEC Corp., Kawasaki, Japan
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    This paper presents an efficient method for coding quantization parameters (QPs) in video coding. Modern real-world video coders modulate QPs within a frame depending on local perceptual sensitivity for the human visual system, aiming to improve subjective quality. Frequent QP modulation increases the code amount of QPs and possibly counteracts subjective quality improvement, and therefore efficient QP coding is important. Based on the fact that similar textures have similar perceptual sensitivities for the human visual system, the proposed method predicts a QP of each coding block from spatially/temporally neighboring blocks referred in intra/ inter prediction. By leveraging coded information of intra/ inter prediction, the proposed method effectively predicts a probable QP from neighboring blocks without any additional bits. Experimental results have shown that the proposed method improves coding efficiency of QPs by from 16% to 20%, whereas the improvement with the conventional method is from 0.2% to 6.9%.
  • Keywords
    data compression; image texture; quantisation (signal); video coding; QP coding; QP modulation; coding block; human visual system; intra prediction; nter prediction; quantization parameter coding; spatially neighboring blocks; temporally neighboring blocks; video coding; video compression schemes; visual quality conscious video coders; Abstracts; Artificial intelligence; Encoding; Transform coding; Visualization; World Wide Web; HEVC; Video coding; adaptive quantization; predictive coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466828
  • Filename
    6466828