• DocumentCode
    174109
  • Title

    Computational complexity analysis of H.264/AVC video compression by DC mode prediction

  • Author

    Islam, Aminul ; Poonam, Aparajita Adhikary ; Uddin, Nezam

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bangladesh Univ. of Bus. & Technol. (BUBT), Dhaka, Bangladesh
  • fYear
    2014
  • fDate
    23-24 May 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The latest video coding standard H.264/AVC achieves better video compression rates since it adopts many new features. The improvement in compression efficiency of H.264 has brought about the dramatic increase in computational complexity. In this paper an algorithm for DC mode prediction employing a new mathematical expression has been developed and analyzed computational complexity against existing algorithm for DC mode prediction. Using the proposed algorithms the encoding time decreased while slightly increasing the PSNR values with no significant rate distortion. Choosing some specific parameters and strategies the experiment has been performed and experimental result have shown that only encoding time has reduced in case of QCIF format but PSNR and bit rate are same. Using CIF format the experimental result have shown that the encoding time was increased.
  • Keywords
    adaptive codes; code standards; computational complexity; data compression; error statistics; video coding; CIF format; DC mode prediction; H.264/AVC; PSNR values; QCIF format; bit rate; computational complexity analysis; encoding time; video coding standard; video compression rate; Bit rate; Computational complexity; Encoding; PSNR; Standards; Video coding; DC mode; H.264/AVC; PSNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-5179-6
  • Type

    conf

  • DOI
    10.1109/ICIEV.2014.6850804
  • Filename
    6850804