A spatiotemporal no-reference video quality assessment model

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dc.contributor.authorKonuk, Baris
dc.contributor.authorZerman, Emin
dc.contributor.authorNur, Gokce
dc.contributor.authorAkar, Gozde Bozdagi
dc.date.accessioned2020-06-25T18:07:48Z
dc.date.available2020-06-25T18:07:48Z
dc.date.issued2013
dc.departmentKırıkkale Üniversitesi
dc.description20th IEEE International Conference on Image Processing (ICIP) -- SEP 15-18, 2013 -- Melbourne, AUSTRALIA
dc.descriptionB. Akar, Gozde/0000-0002-4227-5606; NUR YILMAZ, Gokce/0000-0002-0015-9519
dc.description.abstractMany researchers have been developing objective video quality assessment methods due to increasing demand for perceived video quality measurement results by end users to speed-up advancements of multimedia services. However, most of these methods are either Full-Reference (FR) metrics, which require the original video or Reduced-Reference (RR) metrics, which need some features extracted from the original video. No-Reference (NR) metrics, on the other hand, do not require any information about the original video; hence, are much more suitable for applications like video streaming. This paper presents a novel, objective, NR video quality assessment algorithm. The proposed algorithm is based on utilization of spatial extent of video, temporal extent of video using motion vectors, bit rate, and packet loss ratio. Test results obtained using LIVE video quality database demonstrate the accuracy and robustness of the proposed metric.en_US
dc.description.sponsorshipInst Elect & Elect Engineers, IEEE Signal Proc Socen_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage58en_US
dc.identifier.isbn978-1-4799-2341-0
dc.identifier.issn1522-4880
dc.identifier.scopus2-s2.0-84897741517
dc.identifier.scopusqualityN/A
dc.identifier.startpage54en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5665
dc.identifier.wosWOS:000351597600012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2013 20Th Ieee International Conference On Image Processing (Icip 2013)
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.subjectVideo quality assessment (VQA)en_US
dc.subjectno-reference metricen_US
dc.subjectspatiotemporal informationen_US
dc.subjectpacket lossen_US
dc.subjectquality of experience (QoE)en_US
dc.titleA spatiotemporal no-reference video quality assessment modelen_US
dc.typeConference Object

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