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Cited 5 time in webofscience Cited 5 time in scopus
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Video on mobile CPU: UHD video parallel decoding for asymmetric multicores

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dc.contributor.authorRyu, Y.-
dc.contributor.authorRyu, E.-S.-
dc.date.available2020-02-27T20:42:27Z-
dc.date.created2020-02-12-
dc.date.issued2017-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6663-
dc.description.abstractThis paper proposes a novel High Efficiency Video Coding (HEVC) Tile partitioning method for parallel processing by analyzing the computing ability of asymmetric multicores. The proposed method (i) analyzes the computing ability of asymmetric multicores and (ii) makes a regression model of computational complexity per video resolutions. Finally, the model (iii) determines the optimal HEVC Tile resolution for each core and partitions/allocates the Tiles to suitable cores. The proposed method minimizes the decoding time gap between faster CPU cores and power-efficient cores (big/LITTLE cores). Experimental results with 4K ultra-high definition (UHD) test sequences show an average improvement of 25% in decoding speed for most recent Android smart phones. © 2017 Copyright held by the owner/author(s).-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery, Inc-
dc.relation.isPartOfProceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017-
dc.subjectDecoding-
dc.subjectMultimedia systems-
dc.subjectRegression analysis-
dc.subjectSmartphones-
dc.subjectTile-
dc.subjectAndroid smart phones-
dc.subjectHEVC-
dc.subjectHigh Efficiency Video Coding (HEVC)-
dc.subjectMulti-cores-
dc.subjectParallel processing-
dc.subjectPartitioning methods-
dc.subjectUltra high definition (UHD)-
dc.subjectVideo processing-
dc.subjectVideo signal processing-
dc.titleVideo on mobile CPU: UHD video parallel decoding for asymmetric multicores-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000527368900027-
dc.identifier.doi10.1145/3083187.3083229-
dc.identifier.bibliographicCitationProceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017, pp.229 - 232-
dc.identifier.scopusid2-s2.0-85025627743-
dc.citation.endPage232-
dc.citation.startPage229-
dc.citation.titleProceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017-
dc.contributor.affiliatedAuthorRyu, Y.-
dc.contributor.affiliatedAuthorRyu, E.-S.-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthorAsymmetric multicores-
dc.subject.keywordAuthorHEVC-
dc.subject.keywordAuthorParallel video processing-
dc.subject.keywordAuthorTile-
dc.subject.keywordPlusDecoding-
dc.subject.keywordPlusMultimedia systems-
dc.subject.keywordPlusRegression analysis-
dc.subject.keywordPlusSmartphones-
dc.subject.keywordPlusTile-
dc.subject.keywordPlusAndroid smart phones-
dc.subject.keywordPlusHEVC-
dc.subject.keywordPlusHigh Efficiency Video Coding (HEVC)-
dc.subject.keywordPlusMulti-cores-
dc.subject.keywordPlusParallel processing-
dc.subject.keywordPlusPartitioning methods-
dc.subject.keywordPlusUltra high definition (UHD)-
dc.subject.keywordPlusVideo processing-
dc.subject.keywordPlusVideo signal processing-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscopus-
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