• DocumentCode
    3094945
  • Title

    A Fast Inter-frame Prediction Algorithm for H.264/AVC

  • Author

    Liu, Pengyu ; Jia, Kebin

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    15-17 Oct. 2010
  • Firstpage
    647
  • Lastpage
    650
  • Abstract
    H.264/AVC the latest international video coding standard achieves higher compression efficiency than previous video coding standards. However, this performance gain comes at the cost of an increased computational complexity. To achieve a high coding efficiency, H.264/AVC employs complex mode decision techniques based on Rate-Distortion Optimization, the computational complexity is very high. This is a major bottleneck for the H.264/AVC in real-time application. Inter-frame prediction coding is one of the most important parts in H.264/AVC. In order to reduce the computational complexity, a fast mode decision algorithm based-on the characteristic of macro-block is proposed for Inter-frame in H.264/AVC in this paper. With the new algorithm, the amount of computation involved in the motion estimation and mode decision can be substantially reduced. Simulation results show that the proposed algorithm can reduce about 70% on average of the total encoding time, with a slight increase in bit-rate and a negligible PSNR drop.
  • Keywords
    computational complexity; data compression; motion estimation; optimisation; video coding; H.264/AVC; computational complexity; fast interframe prediction algorithm; motion estimation; rate distortion optimization; video coding; video compression; Automatic voltage control; Computational complexity; Correlation; Encoding; Image coding; PSNR; Prediction algorithms; H.264/AVC; Inter-frame Prediction; macro-block; mode decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-8378-5
  • Electronic_ISBN
    978-0-7695-4222-5
  • Type

    conf

  • DOI
    10.1109/IIHMSP.2010.164
  • Filename
    5636212