Z-Direction Motion Estimation In 2d+Depth Map Based 3d Video

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dc.contributor.authorBayrak, Huseyin
dc.contributor.authorYilmaz, Gokce Nur
dc.contributor.authorTuna, Eyup
dc.date.accessioned2020-06-25T18:12:22Z
dc.date.available2020-06-25T18:12:22Z
dc.date.issued2014
dc.departmentKırıkkale Üniversitesi
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
dc.description.abstract3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for today's researchers along with the growing interest in 3D video. Even though, 2-Dimensional (2D) objective VQA metrics that are widely utilized by researchers in literature, the case is not the same for the 3D video. Therefore, subjective tests, which are inefficient in terms of time and cost are used for the 3D VQA. The VQA metrics are divided into three categories according to the use of the reference signal in the assessment as Full-Reference (FR), Reduced-Reference (RR) or No-Reference (NR). The NR metrics are more efficient compared to the other metrics. In this study, an algorithm that estimates the backward-forward z direction motion of the depth maps in 2D+depth map based 3D videos is proposed. The results indicate that the proposed algorithm is efficient to develop a NR VQA metric in future.en_US
dc.description.sponsorshipIEEE, Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage1046en_US
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84903761056
dc.identifier.scopusqualityN/A
dc.identifier.startpage1043en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5880
dc.identifier.wosWOS:000356351400240
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeeeen_US
dc.relation.ispartof2014 22Nd Signal Processing And Communications Applications Conference (Siu)
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D video quality assessmenten_US
dc.subjectdepth mapen_US
dc.subjectz direction motionen_US
dc.titleZ-Direction Motion Estimation In 2d+Depth Map Based 3d Videoen_US
dc.typeConference Object

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