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DC poleHodnotaJazyk
dc.contributor.authorKubas, Malwina
dc.contributor.authorSarwas, Grzegorz
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-30T08:35:19Z
dc.date.available2021-08-30T08:35:19Z
dc.date.issued2021
dc.identifier.citationJournal of WSCG. 2021, vol. 29, no. 1-2, p. 21-28.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2021/2021-J-WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/44945
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectinterpolace videacs
dc.subjectodhad tokucs
dc.subjectzpomalený pohybcs
dc.titleFastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe problem of video inter-frame interpolation is an essential task in the field of image processing. Correctlyincreasing the number of frames in the recording while maintaining smooth movement allows to improve thequality of played video sequence, enables more effective compression and creating a slow-motion recording. Thispaper proposes the FastRIFE algorithm, which is some speed improvement of the RIFE (Real-Time IntermediateFlow Estimation) model. The novel method was examined and compared with other recently published algorithms.All source codes are available at:https://gitlab.com/malwinq/interpolation-of-images-for-slow-motion-videos.en
dc.subject.translatedvideo Interpolationen
dc.subject.translatedflow estimationen
dc.subject.translatedSlow-Motionen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2021.29.3
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 29, Number 1-2 (2021)

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