Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systems

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dc.authorid0000-0001-6556-4104
dc.authorid0000-0003-1322-6669
dc.contributor.authorBayazıt, Uluğen_US
dc.contributor.authorOrcay, Özgüren_US
dc.contributor.authorKonur, Umuten_US
dc.contributor.authorGürgen, Sadık Fikreten_US
dc.date.accessioned2015-01-15T23:00:49Z
dc.date.available2015-01-15T23:00:49Z
dc.date.issued2007-08
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.descriptionThis work was partially supported by and carried out under Project No. 103E004 of TUBITAK (The Scientific & Technological Research Council of Turkey).en_US
dc.description.abstractIn predictive 3-D mesh geometry coding, the position of each vertex is predicted from the previously coded neighboring vertices and the resultant prediction error vectors are coded. In this work, the prediction error vectors are represented in a local coordinate system in order to cluster them around a subset of a 2-D planar subspace and thereby increase block coding efficiency. Alphabet entropy constrained vector quantization (AECVQ) of Rao and Pearlman is preferred to the previously employed minimum distortion vector quatitization (MDVQ) for block coding the prediction error vectors with high coding efficiency and low implementation complexity. Estimation and compensation of the bias in the parallelogram prediction rule and partial adaptation of the AECVQ codebook to the encoded vector source by normalization using source statistics, are the other salient features of the proposed coding system. Experimental results verify the advantage of the use of the local coordinate system over the global one. The visual error of the proposed coding system is lower than the predictive coding method of Touma and Gotsman especially at low rates, and lower than the spectral coding method of Karni and Gotsman at medium-to-high rates.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumuen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationBayazit, U., Orcay, O., Konur, U., & Gürgen, S. F.(2007). Predictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systems. Journal of Visual Communication and Image Representation, 18(4), 341-353. doi:10.1016/j.jvcir.2007.03.001en_US
dc.identifier.doi10.1016/j.jvcir.2007.03.001
dc.identifier.endpage353
dc.identifier.issn1047-3203
dc.identifier.issn1095-9076
dc.identifier.issue4
dc.identifier.scopus2-s2.0-34250903605
dc.identifier.scopusqualityQ1
dc.identifier.startpage341
dc.identifier.urihttps://hdl.handle.net/11729/247
dc.identifier.urihttp://dx.doi.org/10.1016/j.jvcir.2007.03.001
dc.identifier.volume18
dc.identifier.wosWOS:000248770900005
dc.identifier.wosqualityQ2
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.publisherElsevier Incen_US
dc.relation.ispartofJournal of Visual Communication and Image Representationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMesh geometry compressionen_US
dc.subjectEntropy constrained vector quantizationen_US
dc.subjectLocal coordinate systemen_US
dc.subjectShannon lower bounden_US
dc.subjectParallelogramen_US
dc.subjectPredictionen_US
dc.subjectCompressionen_US
dc.subjectConnectivityen_US
dc.subjectDesignen_US
dc.subjectErroren_US
dc.subjectCodecen_US
dc.subjectError analysisen_US
dc.subjectImage codingen_US
dc.subjectMesh generationen_US
dc.subjectStatistical methodsen_US
dc.subjectImage representationen_US
dc.subjectMinimum distortion vector quantizationen_US
dc.subjectVector quantizationen_US
dc.titlePredictive vector quantization of 3-D mesh geometry by representation of vertices in local coordinate systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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