A Depth Perception Evaluation Metric For Immersive 3d Video Services

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dc.contributor.authorNur Yilmaz, Gokce
dc.date.accessioned2020-06-25T18:23:20Z
dc.date.available2020-06-25T18:23:20Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.description3DTV Conference - The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) -- JUN 07-09, 2017 -- Copenhagen, DENMARK
dc.description.abstractBurgeoning advances in 3 Dimensional (3D) video services provide a big leap on the proliferation of the investigations for developing reliable and competent perceptual 3D video Quality of Experience (QoE) metrics. This proliferation can only be supported by exploiting key features characterizing 3D video nature in these investigations. In this paper, a Reduced Reference (RR) metric is developed considering that the spatial resolution and perceptually significant depth level are two effective features for efficiently evaluating depth perception of the 3D video. In order to determine the perceptually significant depth levels in the depth map sequences, abstraction filter is exploited in the development of the proposed metric. Owing to the fact that the depth perception significantly differs for the depth map sequences having dissimilar relative depth levels, this feature is also incorporated with the proposed metric through normalized standard deviation. Structural SIMilarity metric (SSIM) is utilized to predict the depth perception degraded with the change in the perceptually important levels of the compressed depth maps having dissimilar spatial resolutions and relative depth levels. The performance assessment of the proposed RR metric proves the effectiveness of the proposed metric for ensuring immersive 3D video services.en_US
dc.description.sponsorshipIEEE, Aalborg Univ, IEEE Danish Sect, IEEE Greek CAS SSC Joint Chapter, IEEE Finnish SP CAS Joint Chapteren_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.isbn978-1-5386-1635-2
dc.identifier.scopus2-s2.0-85046379695
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12587/7072
dc.identifier.wosWOS:000428142100024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2017 3Dtv Conference: The True Vision - Capture, Transmission And Display Of 3D Video (3Dtv-Con)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D videoen_US
dc.subjectabstraction filteren_US
dc.subjectdepth perceptionen_US
dc.subjectReduced Reference (RR) metricen_US
dc.subjectstructural complexityen_US
dc.subjectStructural SIMilarity metric (SSIM)en_US
dc.titleA Depth Perception Evaluation Metric For Immersive 3d Video Servicesen_US
dc.typeConference Object

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