Spatio-temporal perception-distortion trade-off in learned video SR
dc.contributor.authorid | 0000-0003-1465-8121 | |
dc.contributor.authorid | N/A | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | N/A | |
dc.contributor.kuauthor | Tekalp, Ahmet Murat | |
dc.contributor.kuauthor | Rahimi, Nasrin | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.researchcenter | Koç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI) | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | Graduate School of Sciences and Engineering | |
dc.contributor.yokid | 26207 | |
dc.contributor.yokid | N/A | |
dc.date.accessioned | 2025-01-19T10:33:57Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Perception-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.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.publisherscope | International | |
dc.description.sponsors | This 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.doi | 10.1109/ICIP49359.2023.10223173 | |
dc.identifier.isbn | 978-172819835-4 | |
dc.identifier.issn | 15224880 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85180784862 | |
dc.identifier.uri | https://doi.org/10.1109/ICIP49359.2023.10223173 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/26687 | |
dc.identifier.wos | 1106821001096 | |
dc.keywords | Natural motion | |
dc.keywords | Natural texture | |
dc.keywords | Perceptual straightness hypothesis | |
dc.keywords | Perceptual video super-resolution | |
dc.keywords | Spatio-temporal perception-distortion trade-off | |
dc.language | en | |
dc.publisher | IEEE Computer Society | |
dc.relation.grantno | KUIS; TUBA; Turkish Is Bank; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (120C156); Türkiye Bilimler Akademisi | |
dc.source | Proceedings - International Conference on Image Processing, ICIP | |
dc.subject | Electrical and electronics engineering | |
dc.title | Spatio-temporal perception-distortion trade-off in learned video SR | |
dc.type | Conference proceeding |