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Hierarchical Motion-Compensated Frame Rate Up-Conversion Using Gaussian Pyramid and Guidance Motion Vector

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dc.contributor.authorPark, Bumjun-
dc.contributor.authorJeong, Jechang-
dc.date.accessioned2021-08-02T14:29:39Z-
dc.date.available2021-08-02T14:29:39Z-
dc.date.created2021-05-11-
dc.date.issued2017-10-
dc.identifier.issn2261-236X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/18772-
dc.description.abstractThis paper proposes fast and accurate frame rate up-conversion algorithm for both software and hardware. The proposed algorithm first construct Gaussian pyramid structure using 3×3 Gaussian mask. After constructing Gaussian pyramid, forward and backward unilateral motion estimation is implemented at the top level of the pyramid. Then, motion vector field that is obtained at the top level is projected onto the middle level and the bottom level of the pyramid with unilateral motion vector refinement. Next, on the bottom level, we implement motion vector smoothing and proposed motion vector shifting with bilateral motion vector refinement. By shifting unilateral motion vector to bilateral motion vector, we could avoid generating holes and overlapped regions. Finally, we select final MV between forward and backward MVs according to their reliability. After all the processes, we interpolate new frames by using overlapped block motion compensation. Experimental results show that proposed algorithm is up to 80 times faster than conventional algorithm with 0.1dB peak signal-To-noise gain in average.-
dc.language영어-
dc.language.isoen-
dc.publisherEDP Sciences-
dc.titleHierarchical Motion-Compensated Frame Rate Up-Conversion Using Gaussian Pyramid and Guidance Motion Vector-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeong, Jechang-
dc.identifier.doi10.1051/matecconf/201712505001-
dc.identifier.scopusid2-s2.0-85032877525-
dc.identifier.bibliographicCitationMATEC Web of Conferences, v.125-
dc.relation.isPartOfMATEC Web of Conferences-
dc.citation.titleMATEC Web of Conferences-
dc.citation.volume125-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusComputer circuits-
dc.subject.keywordPlusGaussian distribution-
dc.subject.keywordPlusImage coding-
dc.subject.keywordPlusMotion compensation-
dc.subject.keywordPlusSignal to noise ratio-
dc.subject.keywordPlusVectors-
dc.subject.keywordPlusConventional algorithms-
dc.subject.keywordPlusForward-and-backward-
dc.subject.keywordPlusFrame rate up conversion-
dc.subject.keywordPlusMotion vector field-
dc.subject.keywordPlusMotion vector refinement-
dc.subject.keywordPlusMotion vector smoothing-
dc.subject.keywordPlusOverlapped block motion compensations-
dc.subject.keywordPlusSoftware and hardwares-
dc.subject.keywordPlusMotion estimation-
dc.identifier.urlhttps://www.matec-conferences.org/articles/matecconf/abs/2017/39/matecconf_cscc2017_05001/matecconf_cscc2017_05001.html-
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