Classification-based macroblock layer rate control for low delay transmission of H.263 video

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dc.authorid0000-0001-6556-4104
dc.contributor.authorBayazıt, Uluğen_US
dc.date.accessioned2015-01-15T22:59:59Z
dc.date.available2015-01-15T22:59:59Z
dc.date.issued2003-07
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractPuri and Aravind's method of macroblock bit count estimation for video rate control is based on the classification of the macroblock data into discrete classes and assigning a unique non-linear estimate for each class and quantization parameter pair. This method stands apart from other methods in the literature, since the model of the bit count versus the quantization parameter relation, parameterized by macroblock variance, is a discrete model generated solely from measurements, We extend their technique for low-delay video rate control (tight buffer regulation) in two ways. We propose a strategy of near-uniform quantization parameter assignments to the macroblocks of a frame that can come close to maximizing an objective spatial quality function, such as PSNR, over the entire frame. We also adaptively update the quantization parameter assignments for the yet to be coded macroblocks, after the encoding of each macroblock, to compensate for any errors in the bit count estimation of the encoded macroblock. Our experiments demonstrate that the proposed rate control method can more accurately control the number of bits expended for a frame, as well as yield a higher objective spatial quality than the method adopted by TMN8.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationBayazit, U. (2003). Classification-based macroblock layer rate control for low delay transmission of H.263 video. Journal of Electronic Imaging, 12(3), 499-510. doi:10.1117/1.1579700en_US
dc.identifier.doi10.1117/1.1579700
dc.identifier.endpage510
dc.identifier.issn1017-9909
dc.identifier.issn1560-229X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-0041940197
dc.identifier.scopusqualityQ3
dc.identifier.startpage499
dc.identifier.urihttps://hdl.handle.net/11729/132
dc.identifier.urihttp://dx.doi.org/10.1117/1.1579700
dc.identifier.volume12
dc.identifier.wosWOS:000184519300014
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorBayazıt, Uluğen_US
dc.institutionauthorid0000-0001-6556-4104
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIS & T - Soc Imaging Science Technologyen_US
dc.relation.ispartofJournal of Electronic Imagingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBit allocationen_US
dc.subjectImage codingen_US
dc.subjectVideo signal processingen_US
dc.subjectTarget biten_US
dc.subjectBit count estimationen_US
dc.subjectMacroblocken_US
dc.subjectVideo rate controlen_US
dc.subjectComputational complexityen_US
dc.subjectComputer simulationen_US
dc.subjectError compensationen_US
dc.subjectImage analysisen_US
dc.subjectImage communication systemsen_US
dc.subjectImage qualityen_US
dc.subjectParameter estimationen_US
dc.subjectSignal to noise ratioen_US
dc.subjectVector quantizationen_US
dc.titleClassification-based macroblock layer rate control for low delay transmission of H.263 videoen_US
dc.typeArticleen_US
dspace.entity.typePublication

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