Depth-Based Texture Coding in AVC-Compatible 3D Video Coding

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dc.contributor.authorLee, Jin Youngko
dc.contributor.authorLin, Jian-Liangko
dc.contributor.authorChen, Yi-Wenko
dc.contributor.authorChang, Yu-Linko
dc.contributor.authorKovliga, Igorko
dc.contributor.authorFartukov, Alexeyko
dc.contributor.authorMishurovskiy, Mikhailko
dc.contributor.authorWey, Ho-Cheonko
dc.contributor.authorHuang, Yu-Wenko
dc.contributor.authorLei, Shaw-Minko
dc.date.accessioned2016-04-15T03:07:58Z-
dc.date.available2016-04-15T03:07:58Z-
dc.date.created2015-09-01-
dc.date.created2015-09-01-
dc.date.issued2015-08-
dc.identifier.citationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.25, no.8, pp.1347 - 1361-
dc.identifier.issn1051-8215-
dc.identifier.urihttp://hdl.handle.net/10203/203987-
dc.description.abstractThe target of 3D video coding is to compress Multiview Video plus Depth (MVD) format data, which consist of a texture image and its corresponding depth map. In the MVD format, the depth map plays an important role for successful services in 3D video applications, because it enables the user to experience 3D by generating arbitrary intermediate views. The depth map has a strong correlation with its associated texture data, so it can be utilized to improve texture coding efficiency. This paper introduces a novel and efficient depth-based texture coding scheme. It includes depth-based motion vector prediction, block-based view synthesis prediction, and adaptive luminance compensation, which were adopted in an AVC-compatible 3D video coding standard. Simulation results demonstrate that the proposed scheme reduces the total coding bitrates of texture and depth by 19.06% for the coded PSNR and 17.01% for the synthesized PSNR in a P-I-P view prediction structure, respectively.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectVIEW SYNTHESIS PREDICTION-
dc.subjectMAP-
dc.subjectIMAGES-
dc.titleDepth-Based Texture Coding in AVC-Compatible 3D Video Coding-
dc.typeArticle-
dc.identifier.wosid000359213400008-
dc.identifier.scopusid2-s2.0-84938923835-
dc.type.rimsART-
dc.citation.volume25-
dc.citation.issue8-
dc.citation.beginningpage1347-
dc.citation.endingpage1361-
dc.citation.publicationnameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY-
dc.identifier.doi10.1109/TCSVT.2014.2380191-
dc.contributor.nonIdAuthorLin, Jian-Liang-
dc.contributor.nonIdAuthorChen, Yi-Wen-
dc.contributor.nonIdAuthorChang, Yu-Lin-
dc.contributor.nonIdAuthorKovliga, Igor-
dc.contributor.nonIdAuthorFartukov, Alexey-
dc.contributor.nonIdAuthorMishurovskiy, Mikhail-
dc.contributor.nonIdAuthorWey, Ho-Cheon-
dc.contributor.nonIdAuthorHuang, Yu-Wen-
dc.contributor.nonIdAuthorLei, Shaw-Min-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAdaptive luminance compensation (ALC)-
dc.subject.keywordAuthorAVC-compatible 3D video coding (3D-AVC)-
dc.subject.keywordAuthorblock-based view synthesis prediction (BVSP)-
dc.subject.keywordAuthordepth-based motion vector prediction (DMVP)-
dc.subject.keywordPlusVIEW SYNTHESIS PREDICTION-
dc.subject.keywordPlusMAP-
dc.subject.keywordPlusIMAGES-
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