Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5778
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dc.contributor.authorYılmaz, Fadi-
dc.contributor.authorDemirci, Muhammed Fatih-
dc.date.accessioned2021-09-11T15:20:00Z-
dc.date.available2021-09-11T15:20:00Z-
dc.date.issued2011en_US
dc.identifier.isbn9781457704635-
dc.identifier.urihttps://doi.org/10.1109/SIU.2011.5929583-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5778-
dc.description.abstractGiven a large image database and query image, efficiently finding all similar database images is an important problem facing researchers in computer vision. This paper proposes an approach for indexing image databases, where images can be represented as tree structures. The algorithm is based on graphtheorical concept named caterpillar decomposition which has been used in the literature for graph embedding. The experimental evaluation of the proposed approach and its comparison with the previous indexing algorithms demonstrates its overall efficacy for image retrieval. © 2011 IEEE.en_US
dc.language.isotren_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleImage indexing with caterpillar decompositionen_US
dc.title.alternativeTırtıl Ayrışması ile İmge İndekslemeen_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.startpage58en_US
dc.identifier.endpage61en_US
dc.identifier.scopus2-s2.0-79960423241en_US
dc.institutionauthorDemirci, Muhammed Fatih-
dc.identifier.doi10.1109/SIU.2011.5929583-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.grantfulltextnone-
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
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