A Multicore Accelerated Implementation for Statistical Analysis of Facial Expressions in Video

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dc.contributor.authorBayrakdar, Sümeyye
dc.contributor.authorYücedağ, İbrahim
dc.contributor.authorAkgün, Devrim
dc.date.accessioned2020-04-30T22:38:42Z
dc.date.available2020-04-30T22:38:42Z
dc.date.issued2016
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionXIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) -- SEP 06-10, 2016 -- Lviv, UKRAINEen_US
dc.descriptionWOS: 000386737600015en_US
dc.description.abstractRecently, the analysis of facial expressions has become one of the important research areas in computer vision and image processing. Analysing facial expressions quickly and accurately play a critical role in many software systems for various applications. In this study, a new algorithm is proposed for the acceleration of video-based facial expression analysis that is performed using cubic Bezier curves. Performance evaluation of the expression analysis accelerated with parallel threads on multi-core computers has been presented. The experiments have been conducted with eNTERFACE'05 emotion video database. Experimental results were obtained using quad-core processor with Hyper Threading technology. According to experimental results, quad core processor using two threads produced about 1.8 fold speed-up and four threads produced about 2.9 fold speed-up while eight threads produced about 3.5 fold speed-up has been obtained.en_US
dc.description.sponsorshipIEEE Adv Technol Human, IEEE Ukraine Sect, IEEE, IEEE W Ukraine AP ED MTT CPMT SSC Soc Joint Chapter, LITTERIS & ARTIBVS, Lviv Polytechn Natl Univ, Inst Comp Sci & Informat Technologies, Minist Educ & Sci Ukraineen_US
dc.identifier.endpage65en_US
dc.identifier.isbn978-1-5090-2739-2
dc.identifier.startpage62en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2383
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 Xith International Scientific And Technical Conference Computer Sciences And Information Technologies (Csit)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCubic Bezier curvesen_US
dc.subjectfacial expression analysisen_US
dc.subjectmulti-core accelerationen_US
dc.subjectparallel programmingen_US
dc.titleA Multicore Accelerated Implementation for Statistical Analysis of Facial Expressions in Videoen_US
dc.typeConference Objecten_US

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