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dc.contributor.authorMaxudov, Nekruzjon
dc.contributor.authorÖzcan, Barış
dc.contributor.authorKıraç, Mustafa Furkan
dc.date.accessioned2016-09-18T13:10:06Z
dc.date.available2016-09-18T13:10:06Z
dc.date.issued2016
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.urihttp://hdl.handle.net/10679/4471
dc.identifier.urihttp://ieeexplore.ieee.org/document/7496070/
dc.description.abstractIn this paper, scene recognition problem, which is a frequently-studied field of computer vision, is tackled. Proposed algorithm utilizes bag of words (BoW) method along with considering sub-segments in the image during classification. For this purpose, the image is represented in three sub-segment levels where the image is divided into equal sized sub-segments at each level. The number of sub-segments are increased as the sub-segment level is increased and each sub-segment at each level is classified. During classification, responses of different sub-segment levels to classifier is considered with a major voting policy. The experiments are made on a database that contains approximately 4500 samples of scene images with dictionary sizes of 50, 100, 200, 300 and different sub-segment levels. The results show that, the proposed method achieves 71.83% accuracy and the sub-segment major voting increases the performance by % 1 according to the non-major voting case.
dc.language.isoengen_US
dc.relation.ispartofSignal Processing and Communication Application Conference (SIU), 2016 24th
dc.rightsrestrictedAccess
dc.titleAlt kesit seviyeleri arasında oy çoğunluğu ile sahne tanımaen_US
dc.title.alternativeScene recognition with majority voting among sub-section levels
dc.typeConference paperen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-9177-0489 & YÖK ID 124619) Kıraç, Furkan
dc.contributor.ozuauthorKıraç, Mustafa Furkan
dc.identifier.wosWOS:000391250900386
dc.identifier.doi10.1109/SIU.2016.7496070
dc.subject.keywordsDescriptors
dc.subject.keywordsScene recognition
dc.subject.keywordsBag of words
dc.subject.keywordsSIFT
dc.subject.keywordsSURF
dc.identifier.scopusSCOPUS:2-s2.0-84982854032
dc.contributor.ozugradstudentMaxudov, Nekruzjon
dc.contributor.ozugradstudentÖzcan, Barış
dc.contributor.authorMale3
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and PhD Student and Graduate Student


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