• DocumentCode
    1691209
  • Title

    Computational complexity reduction algorithm for inter mode prediction in video coding

  • Author

    Bharanitharan, K. ; Somayehsadat, B. ; Wang, Jhing Fa ; Chen, Bo Wei

  • Author_Institution
    Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2010
  • Firstpage
    24
  • Lastpage
    30
  • Abstract
    H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the new feature is variable block sizes for inter frame coding to increase compression efficiency. However, to achieve this, the H.264 encoder employs a complex mode decision technique based on rate-distortion optimization (RDO) that requires high computational complexity, which significantly increases the encoder complexity. In this paper, we propose a classified region algorithm (CRA) that analyzes the spatial and temporal homogeneity of the block by using cross differences to reduce the number of modes that are required for RDO calculation in inter mode decision. The proposed low computational complexity algorithm significantly reduces the inter mode computations without affecting the video quality. The experimental results show that the proposed method is able to reduce the complexity by up to 67% on average with negligible degradation in subjective and objective quality.
  • Keywords
    computational complexity; data compression; image classification; optimisation; video coding; H.264; MPEG-4; classified region algorithm; compression efficiency; computational complexity; data compression; encoder complexity; inter frame coding; inter mode prediction; rate distortion optimization; video coding; video quality; Automatic voltage control; Complexity reduction; Edge detection; H.264/AVC; fast algorithm; gradient filter; inter prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aware Computing (ISAC), 2010 2nd International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-8313-6
  • Type

    conf

  • DOI
    10.1109/ISAC.2010.5670508
  • Filename
    5670508