• DocumentCode
    46908
  • Title

    Complexity scalable intra-prediction mode decision algorithm for mobile video applications

  • Author

    Yun Song ; Jizhen Long ; Kun Yang ; Gaobo Yang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Hunan Univ., Changsha, China
  • Volume
    8
  • Issue
    9
  • fYear
    2014
  • fDate
    June 12 2014
  • Firstpage
    1654
  • Lastpage
    1662
  • Abstract
    The full search scheme employed in H.264/AVC significantly improves the coding performance, but it also introduces a very high computational complexity which limits the applications in resource-constrained mobile devices. In this study, the authors firstly present a discretisation total variation and orientation gradient-based hierarchical intra-prediction mode decision method for mobile video applications. By shrinking the candidate mode set in the rate-distortion optimisation (RDO) process, the proposed algorithm reduces the computational complexity and power consumption of the encoder. Furthermore, they extend the hierarchical algorithm to a complexity scalable version in which the coding complexity is measured on five levels by reserving various numbers of modes for RDO. Experimental results demonstrate that the proposed mode decision algorithm reduces the coding complexity significantly with negligible performance degradation and the proposed complexity scalable algorithm is effective and efficient for mobile video application.
  • Keywords
    computational complexity; gradient methods; optimisation; rate distortion theory; video coding; video streaming; H.264-AVC; RDO process; candidate mode set; coding complexity; coding performance; computational complexity; discretisation total variation; encoder; full search scheme; hierarchical algorithm; mobile video applications; mode decision algorithm; orientation gradient-based hierarchical intraprediction mode decision method; power consumption; rate-distortion optimisation process; resource-constrained mobile devices;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2013.0797
  • Filename
    6830065