BOUN-NKU in mediaeval 2017 emotional impact of movies task

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dc.authorscopusid57197808186
dc.authorscopusid36663153700
dc.authorscopusid7006556254
dc.authorscopusid36241785000
dc.contributor.authorKarslioglu, N.
dc.contributor.authorTimar, Y.
dc.contributor.authorSalah, Albert Ali
dc.contributor.authorKaya, Heysem
dc.date.accessioned2022-05-11T14:15:50Z
dc.date.available2022-05-11T14:15:50Z
dc.date.issued2017
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description2017 Multimedia Benchmark Workshop, MediaEval 2017 -- 13 September 2017 through 15 September 2017 -- -- 131670
dc.description.abstractIn this paper, we present our approach for the Emotional Impact of Movies task of Mediaeval 2017 Challenge, involving multimodal fusion for predicting arousal and valence for movie clips. In our system, we have two pipelines. In the first one, we extracted audio/visual features, and used a combination of PCA, Fisher vector encoding, feature selection, and extreme learning machine classifiers. In the second one, we focused on the classifiers, rather than on feature selection. © 2017 Author/owner(s).
dc.description.sponsorshipBAP 16A01P4; Bilim Akademisi
dc.description.sponsorshipThis work is supported by Bogazici University Project BAP 16A01P4 and by the BAGEP Award of the Science Academy.
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-85034951892
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6091
dc.identifier.volume1984
dc.indekslendigikaynakScopus
dc.institutionauthorKaya, Heysem
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLearning systems
dc.subjectMotion pictures
dc.subjectExtreme learning machine
dc.subjectFisher vectors
dc.subjectMovie clips
dc.subjectMulti-modal fusion
dc.subjectFeature extraction
dc.titleBOUN-NKU in mediaeval 2017 emotional impact of movies task
dc.typeConference Object

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