• DocumentCode
    1062207
  • Title

    Zero-Block Mode Decision Algorithm for H.264/AVC

  • Author

    Lee, Yu-Ming ; Lin, Yinyi

  • Author_Institution
    Dept. of Commun. Eng., Nat. Central Univ., Chungli
  • Volume
    18
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    524
  • Lastpage
    533
  • Abstract
    In the previous paper , we proposed a zero-block intermode decision algorithm for H.264 video coding based upon the number of zero-blocks of 4times4 DCT coefficients between the current macroblock and the co-located macroblock. The proposed algorithm can achieve significant improvement in computation, but the computation performance is limited for high bit-rate coding. To improve computation efficiency, in this paper, we suggest an enhanced zero-block decision algorithm, which uses an early zero-block detection method to compute the number of zero-blocks instead of direct DCT and quantization (DCT/Q) calculation and incorporates two adequate decision methods into semi-stationary and nonstationary regions of a video sequence. In addition, the zero-block decision algorithm is also applied to the intramode prediction in the P frame. The enhanced zero-block decision algorithm brings out a reduction of average 27% of total encoding time compared to the zero-block decision algorithm.
  • Keywords
    code standards; discrete cosine transforms; image sequences; quantisation (signal); video coding; DCT coefficients; H.264/AVC video coding; bit-rate coding; computation efficiency; discrete cosine transforms; quantization calculation; video sequence; zero-block detection method; zero-block mode decision algorithm; Discrete cosine transform (DCT); H.264/AVC; early zero-block detection; fast mode decision; quantization parameter; variable block-size; zero-block decision; Algorithms; Computer Communication Networks; Data Compression; Decision Support Techniques; Image Enhancement; Image Interpretation, Computer-Assisted; Internationality; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2008.2009858
  • Filename
    4745825