Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2315
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherZhang, H.-B.-
dc.contributor.otherFu, C.-H.-
dc.contributor.otherChan, Y.-L.-
dc.contributor.otherTsang, S.-H.-
dc.date.accessioned2022-02-17T08:51:08Z-
dc.date.available2022-02-17T08:51:08Z-
dc.date.issued2015-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2315-
dc.description.abstractThe uniform intra prediction increases the intra prediction modes up to 35 and brings better coding efficiency in HEVC. Besides, depth modelling modes (DMMs) are introduced in depth intra coding of 3D-HEVC to preserve sharp edges and avoid ringing artifacts in a synthesized view. Meanwhile, the encoding time of depth intra coding rapidly increases due to a huge number of intra mode candidates. Based on the spatial correlation of a depth map, we find that not all of the intra modes are necessary to be considered in most cases. Hence, a fast content-dependent depth intra mode decision algorithm is raised in this paper by classifying the spatial distribution of the reference pixels. Simulation results show that the proposed adaptive fast algorithm can save 21%-35% time of the depth coding with the insignificant bit rate increase compared with the state-of-the-art algorithm.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleEfficient depth intra mode decision by reference pixels classification in 3D-HEVCen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of 2015 IEEE International Conference on Image Processing (ICIP)en_US
dc.identifier.doi10.1109/ICIP.2015.7350942-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781479983407en_US
dc.description.startpage961en_US
dc.description.endpage965en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeconference proceedings-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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