• DocumentCode
    2264656
  • Title

    Distortion estimation for reference frame modification methods

  • Author

    Naghdinezhad, Amir ; Labeau, Fabrice

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • fYear
    2011
  • fDate
    Aug. 29 2011-Sept. 2 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the transmission of encoded video over error prone channels, using error resilient techniques at the encoder has become an essential issue. These techniques try to decrease the impact of transmission errors by using different approaches such as inserting Intra MacroBlocks (MBs), changing the prediction structure, or considering the channel state in selecting the best MB modes. In this work, we make use of the channel aware mode decision scheme used in the Loss Aware Rate Distortion Optimization (LARDO) method while simultaneously using the prediction structure of the Improved Generalized Source Channel Prediction (IGSCP) technique. In order to combine these two schemes, we estimate the end-to-end distortion for the IGSCP prediction structure in the H.264/AVC encoder. Simulation results, using the JSVM software, demonstrate the effectiveness of our technique for different sequences.
  • Keywords
    error analysis; optimisation; rate distortion theory; video coding; H.264/AVC encoder; IGSCP technique; JSVM software; LARDO method; MB mode; channel aware mode decision scheme; distortion estimation; error prone channel; error resilient technique; improved generalized source channel prediction; intramacroblock; loss aware rate distortion optimization method; reference frame modification method; transmission error; video encoding; Computer aided software engineering; Decoding; Encoding; Estimation; Rate-distortion; Resilience; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2011 19th European
  • Conference_Location
    Barcelona
  • ISSN
    2076-1465
  • Type

    conf

  • Filename
    7073894