• DocumentCode
    2299359
  • Title

    Optimal compression plane (OCP) — A new framework for H.264 video coding

  • Author

    Liu, Anmin ; Lin, Weisi ; Paul, Manoranjan ; Deng, Chenwei

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    456
  • Lastpage
    461
  • Abstract
    This paper presents a framework for video coding, which is compatible with the existing H.264/AVC standard (for preprocessing). Since the video sequences are of 3D data matrices and the traditional XY image frame plane is not always the best for video coding in terms of rate-distortion (RD) performance, optimal compression plane (OCP) determination models are developed to improve the coding efficiency. We design coding plane level RD cost function (in analog to the one in H.264 macroblock level) to measure the RD performance of each coding plane. We jointly consider the available computational resource and the RD performance in order to determine an adaptive OCP. The performance of the proposed coding framework is assessed with a number video sequences. Extensive experimental results show that the new coding framework can achieve better RD performance at approximately the same computational complexity, for videos with different visual content.
  • Keywords
    computational complexity; image sequences; matrix algebra; rate distortion theory; video coding; 3D data matrices; H.264 video coding; H.264/AVC standard; OCP determination models; RD performance; XY image frame plane; coding efficiency; coding framework; coding plane; computational complexity; optimal compression plane; rate-distortion performance; video sequences; Cost function; Encoding; PSNR; Quantization; Redundancy; Video coding; Video sequences; H.264/AVC; Optimal Compression Plane (OCP); computation constraint; rate-distortion optimization; video coding/compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2010 IEEE International Conference on
  • Conference_Location
    Suntec City
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-7491-2
  • Type

    conf

  • DOI
    10.1109/ICME.2010.5583858
  • Filename
    5583858