• DocumentCode
    2399411
  • Title

    Video coding using 3 dimensional DCT and dynamic code selection

  • Author

    Bauer, Mark ; Sayood, Khalid

  • Author_Institution
    Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
  • fYear
    1995
  • fDate
    28-30 Mar 1995
  • Firstpage
    451
  • Abstract
    Summary only given. We address the quality issue, and present a method for improved coding of the 3D DCT coefficients. Performance gain is achieved through the use of dynamically selected multiple coding algorithms. The resulting performance is excellent giving a compression ratio of greater than to 100:1 for image reproduction. The process consists of stacking 8 frames and breaking the data into 8×8×8 pixel cubes. The three dimensional DCT is applied to each cube. Each cube is then scanned in each dimension to determine if significant energy exists beyond the first two coefficients. Significance is determined with separate thresholds for each dimension. A single bit of side information is transmitted for each dimension of each cube to indicate whether more than two coefficients will be transmitted. The remaining coefficients of all cubes are reordered into a linear array such that the elements with the highest expected energies appear first and lower expected energies appear last. This tends to group coefficients with similar statistical properties for the most efficient coding. Eight different encoding methods are used to convert the coefficients into bits for transmission. The Viterbi algorithm is used to select the best coding method. The cost function is the number of bits that need to be sent. Each of the eight coding methods is optimized for a different range of values
  • Keywords
    discrete cosine transforms; transform coding; video coding; 3D DCT coefficients; Viterbi algorithm; compression ratio; cost function; dynamic code selection; encoding methods; image reproduction; linear array; multiple coding algorithms; performance gain; statistical properties; three dimensional DCT; video coding; Back; Biomedical imaging; Bit rate; Compression algorithms; Discrete cosine transforms; HDTV; Image coding; Performance gain; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1995. DCC '95. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7012-6
  • Type

    conf

  • DOI
    10.1109/DCC.1995.515561
  • Filename
    515561