R-D Optimal Scalable Video Coding Using Soft Decision Quantization

dc.contributor.authorHebel, Krzysztof Michal
dc.date.accessioned2010-11-22T17:23:02Z
dc.date.available2010-11-22T17:23:02Z
dc.date.issued2010-11-22T17:23:02Z
dc.date.submitted2010-11-17
dc.description.abstractIn this thesis, we study the concept of scalable video coding as implemented in the extension to the H.264 video coding standard. Specifically, for the spatial and quality scalability scenarios, we propose an optimization algorithm based on the Soft Decision Quantization (SDQ) concept, which aims at jointly optimizing all layers being encoded. The performance of the algorithm was assessed in an SVC implementation. Experimental results show, that the proposed method significantly improves the coding efficiency when compared to an unmodified SVC encoder.en
dc.identifier.urihttp://hdl.handle.net/10012/5632
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.subjectvideo codingen
dc.subjectH.264en
dc.subjectSVCen
dc.subjectsoft decision quantizationen
dc.subjectinter-layer optimizationen
dc.subject.programElectrical and Computer Engineeringen
dc.titleR-D Optimal Scalable Video Coding Using Soft Decision Quantizationen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Scienceen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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