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A fast full search algorithm using directional oriented search order

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dc.contributor.authorLim, Dongyoung-
dc.contributor.authorPark, Sang-Jun-
dc.contributor.authorKim, Taeyang-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2022-12-21T06:52:56Z-
dc.date.available2022-12-21T06:52:56Z-
dc.date.created2022-09-16-
dc.date.issued2007-08-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179730-
dc.description.abstractWe propose a fast full search algorithm that reduces the computation of block matching algorithm which is used for motion estimation in the video coding. The conventional spiral search algorithm is good for slow motion picture because it starts searching at the center of the search region and moves the search point pixel-bypixel. The proposed algorithm, however, is the efficient motion estimation method which is good for fast and slow motion picture. It estimates the motion in the new search order after partitioning the search window and adapts the directional search order in the re-divided search window. At the result, we can check that the proposed algorithm, which is based on MSEA, reduces the computation by up to 99% for block matching error, compared with the conventional full search algorithm, without any loss of image quality.-
dc.language영어-
dc.language.isoen-
dc.publisherVIIP-
dc.titleA fast full search algorithm using directional oriented search order-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.5555/1659167.1659209-
dc.identifier.scopusid2-s2.0-56549086053-
dc.identifier.bibliographicCitationProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007, pp.219 - 223-
dc.relation.isPartOfProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007-
dc.citation.titleProceedings of the 7th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2007-
dc.citation.startPage219-
dc.citation.endPage223-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusColor image processing-
dc.subject.keywordPlusDigital image storage-
dc.subject.keywordPlusImage coding-
dc.subject.keywordPlusImage processing-
dc.subject.keywordPlusImage quality-
dc.subject.keywordPlusImaging systems-
dc.subject.keywordPlusLearning algorithms-
dc.subject.keywordPlusMotion compensation-
dc.subject.keywordPlusMotion pictures-
dc.subject.keywordPlusProgramming theory-
dc.subject.keywordPlusVisual communication-
dc.subject.keywordPlusVisualization-
dc.subject.keywordPlusWindows-
dc.subject.keywordPlusBlock matching-
dc.subject.keywordPlusBMA-
dc.subject.keywordPlusConventional spirals-
dc.subject.keywordPlusDirectional searches-
dc.subject.keywordPlusFast algorithm-
dc.subject.keywordPlusFast full searches-
dc.subject.keywordPlusFull search-
dc.subject.keywordPlusFull search algorithms-
dc.subject.keywordPlusMSEA-
dc.subject.keywordPlusSearch Algorithms-
dc.subject.keywordPlusSearch points-
dc.subject.keywordPlusSearch regions-
dc.subject.keywordPlusVideo coding-
dc.subject.keywordPlusMotion estimation-
dc.subject.keywordAuthorBMA-
dc.subject.keywordAuthorFast algorithm-
dc.subject.keywordAuthorFull search-
dc.subject.keywordAuthorMotion estimation-
dc.subject.keywordAuthorMSEA-
dc.identifier.urlhttps://dl.acm.org/doi/10.5555/1659167.1659209-
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