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dc.contributor.authorGrajek, Tomasz
dc.contributor.authorStankowski, Jakub
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-09-02T08:17:33Z
dc.date.available2022-09-02T08:17:33Z
dc.date.issued2022
dc.identifier.citationWSCG 2022: full papers proceedings: 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 235-240.en
dc.identifier.isbn978-80-86943-33-6
dc.identifier.issn2464-4617
dc.identifier.urihttp://hdl.handle.net/11025/49599
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectkvantizace optimalizovaná pro rychlost zkreslenícs
dc.subjectRDOQcs
dc.subjectpohyblivý JPEGcs
dc.subjectkomprese videacs
dc.subjectvideo streamingcs
dc.titleRate-Distortion Optimized Quantization in Motion JPEGen
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedRate-Distortion Optimized Quantization (RDOQ) is an encoding optimization technique that may be applied to any transform-based compression technique preserving bitstream compliance with the standard. In the paper, the application of the RDOQ to Motion JPEG is described and evaluated. The proposed solution includes block- level optimization with picture-level Lagrange multiplier estimation. Performed evaluation results in higher compression ratios as compared to typical Motion JPEG.en
dc.subject.translatedRate-Distortion Optimized Quantizationen
dc.subject.translatedRDOQen
dc.subject.translatedmotion JPEGen
dc.subject.translatedvideo compressionen
dc.subject.translatedvideo streamingen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3201.29
dc.type.statusPeer-revieweden
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