Distinctive interest point selection for efficient near-duplicate image retrieval

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dc.contributor.authorYildiz, Burak
dc.contributor.authorDemirci, M. Fatih
dc.date.accessioned2025-10-24T18:06:41Z
dc.date.available2025-10-24T18:06:41Z
dc.date.issued2016
dc.departmentMalatya Turgut Özal Üniversitesi
dc.descriptionThe Institute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.descriptionIEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 -- -- Santa Fe; NM -- 121521
dc.description.abstractDistinctive subset of the interest points creation for near-duplicate image retrieval is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive subsets performs better than the ordinary subsets. In this paper, we focus on the creation of such subsets for effective near-duplicate retrieval and propose a novel interest point selection method. In this method, the distinctive subset is created with a ranking according to a density map calculated from the interest points. We examined a number of experiments to show the performance of the proposed method and we got a convincing result of 95.46% recall while the precision is still 96.04%. © 2016 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/SSIAI.2016.7459172
dc.identifier.endpage52
dc.identifier.isbn9781467318303
dc.identifier.isbn9781424478026
dc.identifier.isbn9798350360110
dc.identifier.isbn0769515371
dc.identifier.isbn1424400694
dc.identifier.isbn9781424400690
dc.identifier.isbn9781467399197
dc.identifier.isbn0769505953
dc.identifier.isbn9781479940530
dc.identifier.isbn9781424422975
dc.identifier.issn2473-3598
dc.identifier.issn1550-5782
dc.identifier.scopus2-s2.0-84971201134
dc.identifier.scopusqualityN/A
dc.identifier.startpage49
dc.identifier.urihttps://doi.rog/10.1109/SSIAI.2016.7459172
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3147
dc.identifier.volume2016-April
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_20251023
dc.subjectdensity map generation
dc.subjectinterest point selection
dc.subjectnear-duplicate image detection
dc.subjectNear-duplicate image retrieval
dc.titleDistinctive interest point selection for efficient near-duplicate image retrieval
dc.typeConference Object

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