Advanced Algorithms for Compression of Videos with Ultra High Resolution

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but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorSoukenik, Ondrej
dc.contributor.authorPolak, Ladislav
dc.contributor.authorKufa, Jan
dc.date.accessioned2022-12-06T13:21:57Z
dc.date.available2022-12-06T13:21:57Z
dc.date.issued2022cs
dc.description.abstractIn this paper, attention is devoted to advanced video codecs (HEVC, VVC, VP9 and AV1) and their utilization for compression of videos with Ultra High Resolution (UHD), also marked as 4K and 8K. A Python-based program employing FFmpeg multimedia framework is created to explore compression performances of such video codecs. It allows to automate encoding process and record all important information during the video compression (e.g. the required CPU time, time consumption, RAM usage). The performance of the video compression algorithms is evaluated in terms of objective quality metrics. First experimental results show that video codecs VVC and AV1 could replace HEVC and VP9 for 4K and 8K videos in the future.en
dc.formattextcs
dc.format.extent71-74cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 28st Conference STUDENT EEICT 2022: Selected papers. s. 71-74. ISBN 978-80-214-6030-0cs
dc.identifier.doi10.13164/eeict.2022.71
dc.identifier.isbn978-80-214-6030-0
dc.identifier.urihttp://hdl.handle.net/11012/208605
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 28st Conference STUDENT EEICT 2022: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectvideo codecs, objective metrics, ffmpeg, HEVC, VVC, VP9, AV1, Pythonen
dc.titleAdvanced Algorithms for Compression of Videos with Ultra High Resolutionen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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