• DocumentCode
    1656780
  • Title

    A novel video compression technique for very low bit-rate coding by combining H.264/AVC standard and 2-D wavelet transform

  • Author

    Aghagolzadeh, Ali ; Meshgini, Saeed ; Nooshyar, Mehdi ; Aghagolzadeh, Mehdi

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz
  • fYear
    2008
  • Firstpage
    1251
  • Lastpage
    1254
  • Abstract
    In this paper, we propose a new method for very low bit-rate video coding that combines H.264/AVC standard and two dimensional discrete wavelet transform. In this method, first a two dimensional wavelet transform is applied on each video frame independently to extract the low frequency components for each frame and then the low frequency parts of all frames are coded using H.264/AVC codec. On the other hand, the high frequency parts of the video frames are coded by run length coding algorithm, after applying a threshold to neglect the low value coefficients. Experiments show that our proposed method can achieve better rate-distortion performance at very low bit-rate applications below 16 kbits/s compared to applying H.264/AVC standard directly to all frames. Applications of our proposed video coding technique include video telephony, video conferencing, transmitting or receiving video over half-rate traffic channels of GSM networks and so on.
  • Keywords
    data compression; feature extraction; telecommunication traffic; video coding; wavelet transforms; 2D wavelet transform; GSM networks; H.264/AVC standard; half-rate traffic channels; novel video compression technique; rate-distortion performance; run length coding algorithm; two dimensional discrete wavelet transform; very low bit-rate coding; video coding technique; video conferencing; video frame; video telephony; Automatic voltage control; Codecs; Discrete wavelet transforms; Frequency; Rate-distortion; Telephony; Video coding; Video compression; Videoconference; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697358
  • Filename
    4697358