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Bit-inverted gray coded bit-plane matching for low complexity motion estimation

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dc.contributor.authorChoi, Changryoul-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2022-07-16T00:28:48Z-
dc.date.available2022-07-16T00:28:48Z-
dc.date.created2021-05-13-
dc.date.issued2015-02-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157932-
dc.description.abstractIn this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.-
dc.language영어-
dc.language.isoen-
dc.publisherSciTePress-
dc.titleBit-inverted gray coded bit-plane matching for low complexity motion estimation-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.5220/0005323902300234-
dc.identifier.scopusid2-s2.0-84938879524-
dc.identifier.bibliographicCitationPECCS 2015 - 5th International Conference on Pervasive and Embedded Computing and Communication Systems, Proceedings, pp.230 - 234-
dc.relation.isPartOfPECCS 2015 - 5th International Conference on Pervasive and Embedded Computing and Communication Systems, Proceedings-
dc.citation.titlePECCS 2015 - 5th International Conference on Pervasive and Embedded Computing and Communication Systems, Proceedings-
dc.citation.startPage230-
dc.citation.endPage234-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusEmbedded systems-
dc.subject.keywordPlusImage enhancement-
dc.subject.keywordPlusBit planes-
dc.subject.keywordPlusBlock Matching-
dc.subject.keywordPlusExtended matching-
dc.subject.keywordPlusGray codes-
dc.subject.keywordPlusImage frames-
dc.subject.keywordPlusMatching algorithm-
dc.subject.keywordPlusMotion estimation algorithm-
dc.subject.keywordPlusMotion estimation-
dc.subject.keywordAuthorBit-plane matching-
dc.subject.keywordAuthorBlock matching-
dc.subject.keywordAuthorMotion estimation-
dc.identifier.urlhttps://www.scitepress.org/Link.aspx?doi=10.5220/0005323902300234-
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