File Size Estimation in JPEG XR Standard Using Machine Learning

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dc.authoridÖztürk, Emir/0000-0002-3734-5171
dc.authoridMesut, Altan/0000-0002-1477-3093
dc.authorwosidÖztürk, Emir/Z-1726-2018
dc.authorwosidMesut, Altan/AAE-8734-2019
dc.contributor.authorOzturk, Emir
dc.contributor.authorMesut, Altan
dc.date.accessioned2024-06-12T11:07:22Z
dc.date.available2024-06-12T11:07:22Z
dc.date.issued2016
dc.departmentTrakya Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.description.abstractAlthough JPEG XR was developed later than JPEG2000, it has not the ability to compress to a certain size unlike JPEG2000. In this study, a machine learning algorithm is proposed in order to bring this feature to JPEG XR method. The results show that, the file size estimation algorithm gives accurate results under the circumstances of giving specific range to compression ratio.en_US
dc.description.sponsorshipIEEE,Bulent Ecevit Univ, Dept Elect & Elect Engn,Bulent Ecevit Univ, Dept Biomed Engn,Bulent Ecevit Univ, Dept Comp Engnen_US
dc.identifier.endpage208en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.scopus2-s2.0-84982787987en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage205en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21994
dc.identifier.wosWOS:000391250900029en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 24th Signal Processing And Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectJPEG XRen_US
dc.subjectMachine Learningen_US
dc.subjectData Compressionen_US
dc.titleFile Size Estimation in JPEG XR Standard Using Machine Learningen_US
dc.typeConference Objecten_US

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