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Temporal error concealment based on optical flow in the H.264/AVC standard

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dc.contributor.authorKim, Donghyung-
dc.contributor.authorKim, Jongho-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2022-12-21T10:39:22Z-
dc.date.available2022-12-21T10:39:22Z-
dc.date.created2022-08-26-
dc.date.issued2006-09-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181089-
dc.description.abstractThe H.264/AVC standard uses new coding tools to improve coding efficiency. Among the tools, motion estimation using smaller block sizes leads to higher correlation between the motion vectors of neighboring blocks. This characteristic of H.264/AVC is useful for motion vector recovery to conceal a lost macroblock. In this paper, we propose a motion vector recovery method based on optical flow in H.264/AVC video coding. We first determine the optical flow region to alleviate the complexity, and choose an initial value of flow velocity using neighboring motion vectors of a lost macroblock. The proposed method recovers the motion vectors of 4x4 blocks included in a lost macroblock using the weighted average of obtained flow velocities. Simulation results show that our proposed method gives higher objective and subjective visual qualities than conventional approaches.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleTemporal error concealment based on optical flow in the H.264/AVC standard-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Donghyung-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.1007/11864349_23-
dc.identifier.scopusid2-s2.0-33750247931-
dc.identifier.wosid000241489100023-
dc.identifier.bibliographicCitationADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, v.4179, pp.253 - 262-
dc.relation.isPartOfADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS-
dc.citation.titleADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS-
dc.citation.volume4179-
dc.citation.startPage253-
dc.citation.endPage262-
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-
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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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