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dc.contributor.authorDziembowski, Adrian
dc.contributor.authorMieloch, Dawid
dc.contributor.authorDomański, Marek
dc.contributor.authorGwangsoon, Lee
dc.contributor.authorJeong, Jun Young
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-08-29T10:25:43Z
dc.date.available2022-08-29T10:25:43Z
dc.date.issued2022
dc.identifier.citationJournal of WSCG. 2022, vol. 30, no. 1-2, p. 54-62.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://hdl.handle.net/11025/49394
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectpohlcující kódování videacs
dc.subjectmultiview kompresecs
dc.subjectvirtuální realitacs
dc.titleSpatiotemporal redundancy removal in immersive video codingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper, the authors describe two methods designed for reducing the spatiotemporal redundancy of the video within the MPEG Immersive video (MIV) encoder: patch occupation modification and cluster splitting. These methods allow optimizing two important parameters of the immersive video: bitrate and pixelrate. The patch occupation modification method significantly decreases the number of active pixels within texture and depth video produced by the MIV encoder. Cluster splitting decreases the total area needed for storing the texture and depth information from multiple input views, decreasing the pixelrate. Both methods proposed by the authors of this paper were appreciated by the experts of the ISO/IEC JTC1/SC29/WG11 MPEG and are included in the Test Model for MPEG Immersive video (TMIV), which is the reference software implementation of the MIV standard.en
dc.subject.translatedimmersive video codingen
dc.subject.translatedmultiview compressionen
dc.subject.translatedvirtual realityen
dc.identifier.doihttps://www.doi.org/10.24132/JWSCG.2022.7
dc.type.statusPeer-revieweden
Appears in Collections:Volume 30, Number 1-2 (2021)

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