An abstraction based reduced reference depth perception metric for 3D video

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dc.contributor.authorNur, Gokce
dc.contributor.authorAkar, Gozde Bozdagi
dc.date.accessioned2020-06-25T18:06:41Z
dc.date.available2020-06-25T18:06:41Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.description19th IEEE International Conference on Image Processing (ICIP) -- SEP 30-OCT 03, 2012 -- Lake Buena Vista, FL
dc.descriptionNUR YILMAZ, Gokce/0000-0002-0015-9519; B. Akar, Gozde/0000-0002-4227-5606
dc.description.abstractIn order to speed up the wide-spread proliferation of the 3D video technologies (e.g., coding, transmission, display, etc), the effect of these technologies on 3D perception should be efficiently and reliably investigated. Using Full-Reference (FR) objective metrics for this investigation is not practical especially for "on the fly" 3D perception evaluation. Thus, a Reduced Reference (RR) metric is proposed to predict the depth perception of 3D video in this paper. The color-plus-depth 3D video representation is exploited for the proposed metric. Since the significant depth levels of the depth map sequences have great influence on the depth perception of users, they are considered as side information in the proposed RR metric. To determine the significant depth levels, the depth map sequences are abstracted using bilateral filter. Video Quality Metric (VQM) is utilized to predict the depth perception ensured by the significant depth levels due to its well correlation with the Human Visual System (HVS). The performance assessment results present that the proposed RR metric can be utilized in place of a FR metric to reliably measure the depth perception of 3D video with a low overhead.en_US
dc.description.sponsorshipInst Elect & Elect Engineers (IEEE), IEEE Signal Proc Socen_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage628en_US
dc.identifier.isbn978-1-4673-2533-2; 978-1-4673-2534-9
dc.identifier.issn1522-4880
dc.identifier.scopus2-s2.0-84875868559
dc.identifier.scopusqualityN/A
dc.identifier.startpage625en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5318
dc.identifier.wosWOS:000319334900152
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2012 Ieee International Conference On Image Processing (Icip 2012)
dc.relation.ispartofseriesIEEE International Conference on Image Processing ICIP
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D Videoen_US
dc.subjectBilateral Filteren_US
dc.subjectDepth Map Abstractionen_US
dc.subjectDepth Perceptionen_US
dc.subjectReduced Reference Metricen_US
dc.titleAn abstraction based reduced reference depth perception metric for 3D videoen_US
dc.typeConference Object

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