Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2289
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherLee, T.-K.-
dc.contributor.otherChan, Y.-L.-
dc.date.accessioned2022-02-16T01:50:47Z-
dc.date.available2022-02-16T01:50:47Z-
dc.date.issued2017-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2289-
dc.description.abstractHigh Efficient Video Coding (HEVC) improves coding efficiency but suffers from high computational complexity due to its quad-tree partitioning structure in motion estimation (ME). In recent development of 3D video technology, depth map from the 3D video provides an intimation of the objects' distance from the projected screen in a 3D scene, which inspires the authors to explore the adaptive search range determination for complexity reduction in HEVC. The proposed algorithm exploits the high temporal correlation between the depth map and the motion in texture. By utilizing this correlation and the potential impact of 3D-to-2D projection, a depth/motion relationship is built for a tailor-made search range with a depth-projected scale factor to skip unnecessary search points in ME. Besides, the proposed ASR algorithm can work well with other fast ME algorithms with up to 53% of average coding time reduction whereas the coding efficiency can be maintained.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleDepth-projected determination for adaptive search range in motion estimation for HEVCen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of the 2017 IEEE International Symposium on Circuits and Systems (ISCAS)en_US
dc.identifier.doi10.1109/ISCAS.2017.8050261-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781509014279en_US
dc.description.startpage164en_US
dc.description.endpage167en_US
dc.cihe.affiliatedNo-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.openairetypeconference proceedings-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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