• DocumentCode
    590279
  • Title

    Multiple sign bits hiding for High Efficiency Video Coding

  • Author

    Jing Wang ; Xiang Yu ; Dake He ; Henry, F. ; Clare, G.

  • Author_Institution
    Res. In Motion Ltd., Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    High Efficiency Video Coding (HEVC) is the next-generation video coding standard currently under development, which has demonstrated substantial bit savings (rate reduction by approximately half) compared to H.264/AVC. This paper presents the multiple sign bits hiding scheme that was adopted into the committee draft of HEVC at the 8th JCT-VC meeting. In HEVC, the quantized transform coefficients are entropy-coded in groups of 16 coefficients for each transform unit. With multiple sign bits hiding, for coefficient groups that satisfy certain conditions, the sign of the first non-zero coefficient along the scanning path is not explicitly transmitted in the bitstream and instead is inferred from the parity of the sum of all non-zero coefficients in that coefficient group at the decoder. To ensure the matching between the hidden sign and the parity of the sum of all non-zero coefficients, a parity adjustment method is employed at the encoder based on rate-distortion optimization or distortion minimization. Compared with conventional video coding schemes where quantization and coefficient coding are separately designed, the multiple sign bits hiding scheme in HEVC represents a joint quantization and coefficient coding design and provides consistent rate-distortion performance gains for all standard test sequences under standard test conditions.
  • Keywords
    decoding; entropy codes; image sequences; quantisation (signal); rate distortion theory; transforms; video coding; H.264/AVC; HEVC; coefficient coding design; coefficient group; decoder; distortion minimization; encoder; entropy code; high efficiency video coding standard; joint quantization; multiple sign bit hiding scheme; next-generation video coding standard; nonzero coefficient; parity adjustment method; quantized transform coefficients; rate-distortion optimization; scanning path; standard test sequences; transform unit; Decoding; Encoding; PSNR; Quantization; Rate-distortion; Transforms; Video coding; HEVC; Multiple sign bits hiding; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410753
  • Filename
    6410753