Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1969
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYıldız, Burak-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2019-07-10T14:42:43Z
dc.date.available2019-07-10T14:42:43Z
dc.date.issued2016
dc.identifier.citationYıldız, B., & Demirci, M. F. (2016, March). Distinctive interest point selection for efficient near-duplicate image retrieval. In 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) (pp. 49-52). IEEE.en_US
dc.identifier.isbn978-1-4673-9919-7
dc.identifier.issn1550-5782
dc.identifier.urihttps://ieeexplore.ieee.org/document/7459172-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1969-
dc.descriptionIEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) (2016 : Santa Fe, NM)
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%.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Southwest Symposium on Image Analysis and Interpretationen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNear-duplicate image retrievalen_US
dc.subjectnear-duplicate image detectionen_US
dc.subjectdensity map generationen_US
dc.subjectinterest point selectionen_US
dc.titleDistinctive Interest Point Selection for Efficient Near-duplicate Image Retrievalen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage49
dc.identifier.endpage52
dc.identifier.wosWOS:000381755500013en_US
dc.identifier.scopus2-s2.0-84971201134en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.identifier.doi10.1109/SSIAI.2016.7459172-
dc.authorscopusid14041575400-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Mar 23, 2024

Page view(s)

28
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.