• DocumentCode
    2025816
  • Title

    Complexity Control for Real-Time Video Coding

  • Author

    Akyol, Emrah ; Mukherjee, Debargha ; Liu, Yuxin

  • Author_Institution
    California Univ., Los Angeles
  • Volume
    1
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    A methodology for complexity scalable video encoding and complexity control within the framework of the H.264/AVC video encoder is presented. To yield good rate-distortion performance under strict complexity/time constraints for instance in real-time communication, a framework for optimal complexity allocation at the macroblock level is necessary. We developed a macroblock level fast motion estimation based complexity scalable motion/mode search algorithm where the complexity is adapted jointly by parameters that determine the aggressiveness of an early stop criteria, the number of ordered modes searched, and the accuracy of motion estimation steps for the INTER modes. Next, these complexity parameters are adapted per macroblock based on a control loop to approximately satisfy an encoding frame rate target. The optimal manner of adapting the parameters is derived from prior training. Results using the developed scalable complexity H.264/AVC encoder demonstrate the benefit of adaptive complexity allocation over uniform complexity scaling.
  • Keywords
    computational complexity; motion estimation; rate distortion theory; real-time systems; video coding; H.264/AVC video encoder; complexity control; complexity scalable motion; macroblock level fast motion estimation; mode search algorithm; rate-distortion performance; real-time video coding; Automatic voltage control; Costs; Encoding; Laboratories; Motion control; Motion estimation; Rate-distortion; Scalability; Teleconferencing; Video coding; H.264/AVC; complexity control; fast motion estimation; real-time video coding; scalable complexity; videoconferencing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4378895
  • Filename
    4378895