LMS based adaptive prediction for scalable video coding

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epageII40en_US
dc.citation.spageII37en_US
dc.contributor.authorTöreyin, B. Uğuren_US
dc.contributor.authorTrocan, M.en_US
dc.contributor.authorPesquet-Popescu, B.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialToulouse, France
dc.date.accessioned2016-02-08T11:47:39Z
dc.date.available2016-02-08T11:47:39Z
dc.date.issued2006-05en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 14-19 May 2006
dc.descriptionConference name: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
dc.description.abstract3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least mean square (LMS) based adaptive prediction for the temporal prediction step in lifting implementation. This approach improves the overall quality of the coded video, by reducing both the blocking and ghosting artefacts. Experimental results show that the video quality as well as PSNR values are greatly improved with the proposed adaptive method, especially for video sequences with large contrast between the moving objects and the background and for sequences with illumination variations. © 2006 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:47:39Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.identifier.doi10.1109/ICASSP.2006.1660273
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/11693/27213
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.2006.1660273
dc.source.titleIEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006en_US
dc.subjectAdaptive systemsen_US
dc.subjectImage qualityen_US
dc.subjectLeast squares approximationsen_US
dc.subjectLightingen_US
dc.subjectMean square erroren_US
dc.subjectCompression performanceen_US
dc.subjectScalability featuresen_US
dc.subjectVideo codecsen_US
dc.subjectImage codingen_US
dc.titleLMS based adaptive prediction for scalable video codingen_US
dc.typeConference Paperen_US

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