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
EventIEEE International Conference on Acoustics, Speech and Signal Processing 2009 - Taipei, Taiwan, Province of China
Duration: 19 Apr 200924 Apr 2009
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4912736

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing 2009
CountryTaiwan, Province of China
CityTaipei
Period19/04/200924/04/2009
Internet address

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