Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2322
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherTsang, S.-H.-
dc.contributor.otherChan, Y.-L.-
dc.date.accessioned2022-02-18T04:45:15Z-
dc.date.available2022-02-18T04:45:15Z-
dc.date.issued2015-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2322-
dc.description.abstractThis paper presents fast and efficient intra prediction algorithms for screen content coding (SCC). The proposed algorithms focus on smooth regions frequently appeared in screen content videos, which have the characteristics of noiselessness. All the samples in a noiseless smooth region exhibit exactly the same pixel value. We then propose two intra coding techniques for noiseless smooth regions in SCC based on the smoothness of the boundary samples which are used for intra prediction. Our proposed algorithm can reduce computational complexity by at most 26.7% while keeping nearly the same video quality. Moreover, by removing the redundant coding bits for intra prediction modes, computational complexity can be further reduced to at most 53.3% in terms of encoding time with bitrate reduction up to 1.2%.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleFast and efficient intra coding techniques for smooth regions in screen content coding based on boundary prediction samplesen_US
dc.typeconference proceedingsen_US
dc.relation.publication2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en_US
dc.identifier.doi10.1109/ICASSP.2015.7178202-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781467369985en_US
dc.description.startpage1409en_US
dc.description.endpage1413en_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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