Full metadata record
DC FieldValueLanguage
dc.contributor.authorPeng, WHen_US
dc.contributor.authorChiang, THen_US
dc.contributor.authorHang, HMen_US
dc.contributor.authorLee, CYen_US
dc.date.accessioned2014-12-08T15:39:56Z-
dc.date.available2014-12-08T15:39:56Z-
dc.date.issued2004en_US
dc.identifier.isbn3-540-23977-4en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11536/27279-
dc.description.abstractIn this paper, we propose an enhanced stochastic bit reshuffling (SBR) scheme to deliver better subjective quality for fine granular scalable (FGS) video coding. Traditional bit-plane coding in FGS algorithm suffers from poor subjective quality due to zigzag and raster scanning order. To tackle this problem, our SBR rearranges the transmission order of each bit by its estimated rate-distortion performance. Particularly, we model the transform coefficient with a maximum likelihood based Laplacian distribution and incorporate it into the context probability model for content-aware parameter estimation. Moreover, we use a dynamic priority management scheme for the SBR. Experimental results show that our enhanced SBR together with context adaptive binary arithmetic coding offers up to 1.5dB PSNR improvement and shows better visual quality as compared to the scheme in MPEG-4 FGS.en_US
dc.language.isoen_USen_US
dc.titleEnhanced stochastic bit reshuffling for fine granular scalable video codingen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.journalADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 2, PROCEEDINGSen_US
dc.citation.volume3332en_US
dc.citation.spage521en_US
dc.citation.epage528en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000226025200064-
Appears in Collections:Conferences Paper