Improved virtual channel noise model for transform domain Wyner-Ziv video coding

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    Abstract

    Distributed video coding (DVC) has been proposed as a new video coding paradigm to deal with lossy source coding using side information to exploit the statistics at the decoder to reduce computational demands at the encoder. A virtual channel noise model is utilized at the decoder to estimate the noise distribution between the side information frame and the original frame. This is one of the most important aspects influencing the coding performance of DVC. Noise models with different granularity have been proposed. In this paper, an improved noise model for transform domain Wyner-Ziv video coding is proposed, which utilizes cross-band correlation to estimate the Laplacian parameters more accurately. Experimental results show that the proposed noise model can improve the rate-distortion (RD) performance.
    Original languageEnglish
    Title of host publicationProceedings, ICASSP
    PublisherIEEE Signal Processing Society
    Publication date2009
    Pages921-924
    ISBN (Print)9781424423538
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Acoustics, Speech and Signal Processing - Taipei, Taiwan, Province of China
    Duration: 19 Apr 200924 Apr 2009
    Conference number: 34
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4912736

    Conference

    Conference2009 IEEE International Conference on Acoustics, Speech and Signal Processing
    Number34
    Country/TerritoryTaiwan, Province of China
    CityTaipei
    Period19/04/200924/04/2009
    Internet address

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