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Joint quantizer optimization for scalable coding

dc.creatorKoziri, M.en
dc.creatorEleftheriadis, A.en
dc.date.accessioned2015-11-23T10:36:59Z
dc.date.available2015-11-23T10:36:59Z
dc.date.issued2010
dc.identifier10.1109/ICIP.2010.5653282
dc.identifier.isbn9781424479948
dc.identifier.issn15224880
dc.identifier.urihttp://hdl.handle.net/11615/30014
dc.description.abstractScalability is an attractive solution to the problems posed by modern multimedia transmission systems. The key for better performance in scalable coding is joint rate distortion optimization. We present a new stochastic model for scalable coding which models the dependencies among layers, and we derive an optimal joint quantizer selection scheme for memoryless Gaussian sources. Simulation results verify the validity of the theoretical analysis. © 2010 IEEE.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-78651070217&partnerID=40&md5=011fe355bae7c5829aad2ec16bf4e5a3
dc.subjectQuantizationen
dc.subjectRate distortion theoryen
dc.subjectSource codingen
dc.subjectAttractive solutionsen
dc.subjectGaussian sourcesen
dc.subjectMemorylessen
dc.subjectMultimedia transmission systemsen
dc.subjectQuantizersen
dc.subjectRate distortion-theoryen
dc.subjectRate-distortion optimizationen
dc.subjectScalable codingen
dc.subjectSelection schemeen
dc.subjectSimulation resulten
dc.subjectSource-codingen
dc.subjectElectric distortionen
dc.subjectImaging systemsen
dc.subjectInformation theoryen
dc.subjectOptimizationen
dc.subjectSignal distortionen
dc.subjectStochastic modelsen
dc.subjectImage codingen
dc.titleJoint quantizer optimization for scalable codingen
dc.typeconferenceItemen


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