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Complexity reduction algorithm for intra mode selection in H.264/AVC video coding

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dc.contributor.authorKim, Jongho-
dc.contributor.authorKim, Donghyung-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2022-12-21T10:39:05Z-
dc.date.available2022-12-21T10:39:05Z-
dc.date.created2022-08-26-
dc.date.issued2006-09-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181086-
dc.description.abstractThe emerging H.264/AVC video coding standard improves coding performance significantly by adopting many advanced techniques. This is achieved at the expense of great increase of encoder complexity. Specifically, the intra prediction using RDO examines all possible combinations of coding modes, which depend on spatial directional correlation with adjacent blocks. There are 9 modes for a 4x4 luma block, and 4 modes for a 16x16 luma block and an 8x8 chroma block, respectively. Therefore the number of mode combinations for each MB is 592. This paper proposes a complexity reduction algorithm using simple directional masks and neighboring modes. The proposed method reduces the number of mode combinations into 132 at the most. Simulation results show the proposed method reduces the encoding time up to 70% with negligible loss of PSNR and bit-rate increase compared with the H.264/AVC exhaustive search.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleComplexity reduction algorithm for intra mode selection in H.264/AVC video coding-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Donghyung-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.scopusid2-s2.0-33750252835-
dc.identifier.wosid000241489100041-
dc.identifier.bibliographicCitationADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, v.4179, pp.454 - 465-
dc.relation.isPartOfADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS-
dc.citation.titleADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS-
dc.citation.volume4179-
dc.citation.startPage454-
dc.citation.endPage465-
dc.type.rimsART-
dc.type.docTypeArticle; Proceedings Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorintra mode selection-
dc.subject.keywordAuthorintra prediction-
dc.subject.keywordAuthorH.264/AVC-
dc.subject.keywordAuthorRDO-
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서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
서울 의과대학 > 서울 의학교육학교실 > 1. Journal Articles

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COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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