Spatio-temporal perception-distortion trade-off in learned video SR

dc.contributor.authorid0000-0003-1465-8121
dc.contributor.authoridN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentN/A
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuauthorRahimi, Nasrin
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.researchcenterKoç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI)
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid26207
dc.contributor.yokidN/A
dc.date.accessioned2025-01-19T10:33:57Z
dc.date.issued2023
dc.description.abstractPerception-distortion trade-off is well-understood for single-image super-resolution. However, its extension to video super-resolution (VSR) is not straightforward, since popular perceptual measures only evaluate naturalness of spatial textures and do not take naturalness of flow (temporal coherence) into account. To this effect, we propose a new measure of spatio-temporal perceptual video quality emphasizing naturalness of optical flow via the perceptual straightness hypothesis (PSH) for meaningful spatio-temporal perception-distortion trade-off. We also propose a new architecture for perceptual VSR (PSVR) to explicitly enforce naturalness of flow to achieve realistic spatio-temporal perception-distortion trade-off according to the proposed measures. Experimental results with PVSR support the hypothesis that a meaningful perception-distortion tradeoff for video should account for the naturalness of motion in addition to naturalness of texture. © 2023 IEEE.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.sponsorsThis work is supported in part by TUBITAK 2247-A Award No. 120C156 and KUIS AI Center funded by Turkish Is Bank. A. M. Tekalp also acknowledges support from Turkish Academy of Sciences (TUBA).
dc.identifier.doi10.1109/ICIP49359.2023.10223173
dc.identifier.isbn978-172819835-4
dc.identifier.issn15224880
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85180784862
dc.identifier.urihttps://doi.org/10.1109/ICIP49359.2023.10223173
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26687
dc.identifier.wos1106821001096
dc.keywordsNatural motion
dc.keywordsNatural texture
dc.keywordsPerceptual straightness hypothesis
dc.keywordsPerceptual video super-resolution
dc.keywordsSpatio-temporal perception-distortion trade-off
dc.languageen
dc.publisherIEEE Computer Society
dc.relation.grantnoKUIS; TUBA; Turkish Is Bank; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (120C156); Türkiye Bilimler Akademisi
dc.sourceProceedings - International Conference on Image Processing, ICIP
dc.subjectElectrical and electronics engineering
dc.titleSpatio-temporal perception-distortion trade-off in learned video SR
dc.typeConference proceeding

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