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Low-complexity sub-pixel motion estimation utilizing shifting matrix in transform domain

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dc.contributor.authorRyu, C.-
dc.contributor.authorShin, J.-Y.-
dc.contributor.authorPark, E.-C.-
dc.date.accessioned2024-09-26T13:02:44Z-
dc.date.available2024-09-26T13:02:44Z-
dc.date.issued2016-07-
dc.identifier.issn1975-0102-
dc.identifier.issn2093-7423-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/25151-
dc.description.abstractMotion estimation (ME) algorithms supporting quarter-pixel accuracy have been recently introduced to retain detailed motion information for high quality of video in the state-of-the-art video compression standard of H.264/AVC. Conventional sub-pixel ME algorithms in the spatial domain are faced with a common problem of computational complexity because of embedded interpolation schemes. This paper proposes a low-complexity sub-pixel motion estimation algorithm in the transform domain utilizing shifting matrix. Simulations are performed to compare the performances of spatial-domain ME algorithms and transform-domain ME algorithms in terms of peak signal-to-noise ratio (PSNR) and the number of bits per frame. Simulation results confirm that the transform-domain approach not only improves the video quality and the compression efficiency, but also remarkably alleviates the computational complexity, compared to the spatial-domain approach. © The Korean Institute of Electrical Engineers.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherKorean Institute of Electrical Engineers-
dc.titleLow-complexity sub-pixel motion estimation utilizing shifting matrix in transform domain-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.5370/JEET.2016.11.4.1022-
dc.identifier.scopusid2-s2.0-84974846155-
dc.identifier.bibliographicCitationJournal of Electrical Engineering and Technology, v.11, no.4, pp 1022 - 1028-
dc.citation.titleJournal of Electrical Engineering and Technology-
dc.citation.volume11-
dc.citation.number4-
dc.citation.startPage1022-
dc.citation.endPage1028-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorComputational complexity-
dc.subject.keywordAuthorMotion estimation-
dc.subject.keywordAuthorQuarter-pixel accuracy-
dc.subject.keywordAuthorRecursive equation-
dc.subject.keywordAuthorTransform domain-
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