Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2312
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherDou, H.-
dc.contributor.otherChan, Y.-L.-
dc.contributor.otherJia, K.-B.-
dc.contributor.otherLiu, P.-Y.-
dc.contributor.otherWu, Q.-
dc.date.accessioned2022-02-17T08:27:32Z-
dc.date.available2022-02-17T08:27:32Z-
dc.date.issued2015-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2312-
dc.description.abstractThis paper presents an adaptive segment-based view synthesis optimization (VSO) for depth map coding in 3D-HEVC. The original method skips lines of pixels where there is no change in depth data, and exhaustively renders pixels from all the rest of lines to get distortions from synthesized views. It brings unnecessary coding operations and ignores smaller regions which can also be skipped in VSO. The proposed method is designed to skip proper segments of pixels for the non-skipped lines based on both of the texture smoothness and depth data unchangeableness. Experimental results show that the proposed method can achieve low coding complexity without significant performance loss for the synthesized views.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleAn adaptive segment-based view synthesis optimization method for 3D-HEVCen_US
dc.typeconference proceedingsen_US
dc.relation.publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Proceedingsen_US
dc.identifier.doi10.1109/APSIPA.2015.7415525-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781467395939en_US
dc.description.startpage313en_US
dc.description.endpage318en_US
dc.cihe.affiliatedNo-
item.openairetypeconference proceedings-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.grantfulltextnone-
item.cerifentitytypePublications-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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