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dc.contributor.authorKonuk, Baris
dc.contributor.authorZerman, Emin
dc.contributor.authorAkar, Gozde Bozdaki
dc.contributor.authorNur, Gokce
dc.date.accessioned2020-06-25T18:15:44Z
dc.date.available2020-06-25T18:15:44Z
dc.date.issued2015
dc.identifier.citationclosedAccessen_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6249
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.descriptionNUR YILMAZ, Gokce/0000-0002-0015-9519; B. Akar, Gozde/0000-0002-4227-5606en_US
dc.descriptionWOS: 000380500900222en_US
dc.description.abstractIn this study, a novel, content aware audiovisual quality assessment (AVQA) method using a spatio-temporal characteristics based video classification method has been proposed and evaluated on AVQA database created by University of Plymouth. The proposed AVQA method is evaluated using subjective audio mean opinion score (MOS) and subjective video MOS. Results indicate that both classification method and the proposed content dependent AVQA method are quite satisfactoryen_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectQuality of experience (QoE)en_US
dc.subjectspatiotemporal informationen_US
dc.subjectno-reference metricen_US
dc.subjectvideo content analysisen_US
dc.subjectaudiovisual quality assessment (AVQA)en_US
dc.titleContent Aware Audiovisual Quality Assessmenten_US
dc.typeconferenceObjecten_US
dc.contributor.departmentKırıkkale Üniversitesien_US
dc.identifier.startpage966en_US
dc.identifier.endpage969en_US
dc.relation.journal2015 23Rd Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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