Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2287
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherKuang, W.-
dc.contributor.otherTsang, S.-H.-
dc.contributor.otherChan, Y.-L.-
dc.date.accessioned2022-02-16T01:39:47Z-
dc.date.available2022-02-16T01:39:47Z-
dc.date.issued2017-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2287-
dc.description.abstractScreen Content coding (SCC) is one of an extension to High Efficiency Video Coding (HEVC) developed by the Joint Collaborative Team on Video Coding (JCT-VC). It adopts two new coding tools, intra block copy (IBC) and palette (PLT) modes, to improve the compression performance for intra coding. Nevertheless, mode selection causes a substantial increase in encoding complexity. In this paper, a fast mode decision algorithm, which makes use of early mode skip decision based on the Bayesian decision rule using online learning, is proposed. The proposed algorithm is implemented in the SCC reference software SCM-7.0. Experimental results show that the proposed algorithm can achieve 23.2% complexity reduction on average with only 0.58% Bjontegaard delta bitrate loss in All Intra (AI) configurations.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleFast mode decision algorithm for HEVC screen content intra codingen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of 2017 IEEE International Conference on Image Processing (ICIP)en_US
dc.identifier.doi10.1109/ICIP.2017.8296727-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781509021765en_US
dc.description.startpage2473en_US
dc.description.endpage2477en_US
dc.cihe.affiliatedNo-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeconference proceedings-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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