Depth Perception Prediction of 3D Video for Ensuring Advanced Multimedia Services

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dc.contributor.authorNur Yilmaz, Gokce
dc.contributor.authorBattisti, Federica
dc.date.accessioned2020-06-25T18:29:48Z
dc.date.available2020-06-25T18:29:48Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.description3DTV-Conference - The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) -- JUN 03-05, 2018 -- Helsinki, FINLAND
dc.description.abstractA key role in the advancement of 3 Dimensional TV services is played by the development of 3D video quality metrics used for the assessment of the perceived quality. Moreover, this key role can only be supported when the features associated with the 3D video nature is reliably and efficiently characterized in these metrics. In this study, z-direction motion incorporated with significant depth levels in depth map sequences are considered as the main characterizations of the 3D nature. The 3D video quality metrics can be classified into three categories based on the need for the reference video during the assessment process at the user end: Full Reference (FR), Reduced Reference (RR) and No Reference (NR). In this study we propose a NR quality metric, PNRM, suitable for on-the-fly 3D video services. In order to evaluate the reliability and effectiveness of the proposed metric, subjective experiments are conducted in this paper. Observing the high correlation with the subjective experimental results, it can be clearly stated that the proposed metric is able to mimic the Human Visual System (HVS).en_US
dc.description.sponsorshipScientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114E551]en_US
dc.description.sponsorshipThis work has been supported by the Scientific and Technological Research Council of Turkey, Project Number: 114E551.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.isbn978-1-5386-6125-3
dc.identifier.issn2161-2021
dc.identifier.scopus2-s2.0-85056153928
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7470
dc.identifier.wosWOS:000454903900010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2018 - 3Dtv-Conference: The True Vision - Capture, Transmission And Display Of 3D Video (3Dtv-Con)
dc.relation.ispartofseries3DTV Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D videoen_US
dc.subjectdepth perceptionen_US
dc.subjectNo Referenceen_US
dc.subjectquality metricen_US
dc.titleDepth Perception Prediction of 3D Video for Ensuring Advanced Multimedia Servicesen_US
dc.typeConference Object

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