• DocumentCode
    3140038
  • Title

    Three-Dimensional Transforms and Entropy Coders for a Fast Embedded Color Video Codec

  • Author

    Testoni, Vanessa ; Costa, Max H M

  • Author_Institution
    Sch. of Electr. & Comput. Eng., State Univ. of Campinas (UNICAMP), Campinas
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    147
  • Lastpage
    154
  • Abstract
    This work compares the performances of two fast 3-D transforms and two adaptive Golomb entropy coders applied to a video codec system named FEVC (fast embedded video codec). The compared transforms are Hadamard (4times4times4 and 8times8times8) and H.264/AVC integer DCT (4times4times4). The compared adaptive Golomb entropy coders have different operation modes and adaptation strategies. New 3-D implementation methods for the transforms are presented. After the scan procedure, the encoding of the 3-D coefficients is done, bit-plane-by-bit-plane, by the entropy coders, producing a fully embedded output bitstream. The FEVC (also described here) was developed to be implemented each of a large number of set-top boxes used in a fiber optics network. For that reason, it is focused on reduced complexity and execution time, not on high compression rates. The use of meager computational resources is also required. Even with these constraints, good distortion versus rate results were achieved.
  • Keywords
    Hadamard transforms; discrete cosine transforms; entropy codes; image colour analysis; optical fibre networks; video codecs; video coding; 3D transforms; H.264/AVC integer DCT; Hadamard transforms; adaptive Golomb entropy coders; entropy coders; fast embedded color video codec; fast embedded video codec; fiber optics network; Automatic voltage control; Discrete cosine transforms; Entropy; Image coding; Optical fiber networks; Video codecs; Video coding; Video compression; Video on demand; Videoconference; C language; Embedded video coding; fast transforms; fast video codec; three-dimensional transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on
  • Conference_Location
    Campo Grande
  • ISSN
    1530-1834
  • Print_ISBN
    978-0-7695-3358-2
  • Type

    conf

  • DOI
    10.1109/SIBGRAPI.2008.11
  • Filename
    4654154