Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49900
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dc.contributor.authorSun, Jin.
dc.date.accessioned2012-05-25T04:48:41Z
dc.date.available2012-05-25T04:48:41Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/49900
dc.description.abstractDistributed coding is a new paradigm for video compression, based on Slepian and Wolf’s and Wyner and Ziv’s information-theoretic results from the 1970s. Distributed video coding (DVC), i.e., lossy compression with receiver side information, enables low-complexity video encoding where the bulk of the computation is shifted to the decoder.However, compared to conventional motion-compensated interframe coding, distributed video coding (DVC) has a worse rate-distortion performance according to the existing works. The most important reason is that it is much more difficult to fully exploit the temporal correlation of the video sources by using motion estimation at the decoder where less information is available. Another reason is that conventional video coding adopt the entropy approaching tools to exploit the statistical correlation among the coefficients while existing DVC utilize only channel coding based Slepian-Wolf coding to exploit the statistical correlation.en_US
dc.format.extent64 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineeringen_US
dc.titleStudy on statistical correlation exploitation in distributed video codingen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorZhu Ceen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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