Depth Perception Prediction of 3D Video QoE for Future Internet Services

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dc.contributor.authorNur Yilmaz, Gokce
dc.date.accessioned2020-06-25T18:29:46Z
dc.date.available2020-06-25T18:29:46Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.description32nd International Conference on Information Networking (ICOIN) -- JAN 10-12, 2018 -- Chiang Mai, THAILAND
dc.description.abstract3 Dimensional (3D) video Quality of Experience (QoE) metrics are at utmost importance to enable enhancement of Future Internet Services. This enhancement can only be supported when the 3D video is characterized in the most reliable way as possible in these metrics. In light of this fact, a QoE metric including significant depth level and aerial perspective cue to support this reliable way is developed to predict the depth perception of the 3D video. Considering that No Reference (NR) QoE metric type is the most efficient one compared to the other types (i.e., Full Reference (FR) and Reduced Reference (RR)) in terms of transmission requirement, it is used as the metric type to develop the proposed metric. Conducted subjective experiments which are currently the "gold standard" in terms of reliable depth perception assessment are exploited to assess the performance of the proposed metric. Observing the effectiveness of the performance results, it can be clearly concluded that the advancement of the 3D video communication technologies can be ensured to assist Future Internet Services in a timely fashion.en_US
dc.description.sponsorshipKorean Inst Informat Scientists & Engineers Informat Networking Soc, IEEE Comp Soc, IEEEen_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.endpage149en_US
dc.identifier.isbn978-1-5386-2290-2
dc.identifier.scopus2-s2.0-85047001300
dc.identifier.scopusqualityN/A
dc.identifier.startpage146en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7456
dc.identifier.wosWOS:000468812000029
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2018 32Nd International Conference On Information Networking (Icoin)
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.subjectQuality of Experience (QoE)en_US
dc.titleDepth Perception Prediction of 3D Video QoE for Future Internet Servicesen_US
dc.typeConference Object

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