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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/388B8GS
Repositorysid.inpe.br/sibgrapi/2010/09.10.11.55
Metadatasid.inpe.br/sibgrapi/2010/09.10.11.55.22
Sitesibgrapi.sid.inpe.br
Citation KeyPedronetteTorr:2010:DiCoRe
Author1 Pedronette, Daniel Carlos Guimarães
2 Torres, Ricardo da S.
Affiliation1 RECOD Lab - Institute of Computing - University of Campinas
2 RECOD Lab - Institute of Computing - University of Campinas
TitleDistances Correlation for Re-Ranking in Content-Based Image Retrieval
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordscontent-based image retrieval, re-ranking, distance optimization, clustering.
AbstractContent-based image retrieval relies on the use of efficient and effective image descriptors. One of the most important components of an image descriptor is concerned with the distance function used to measure how similar two images are. This paper presents a clustering approach based on distances correlation for computing the similarity among images. Conducted experiments involving shape, color, and texture descriptors demonstrate the effectiveness of our method.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size550 KiB
Number of Files1
Target FileSIBGRAPFinal_PDFExpress.pdf
Last Update2010:09.10.11.55.22 sid.inpe.br/banon/2001/03.30.15.38 daniel@dga.unicamp.br
Metadata Last Update2010:10.01.04.19.39 sid.inpe.br/banon/2001/03.30.15.38 daniel@dga.unicamp.br {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Mirrordpi.inpe.br/banon-pc2@80/2006/08.30.19.27
e-Mail Addressdaniel@dga.unicamp.br
User Groupdaniel@dga.unicamp.br
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
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History2010-10-01 04:19:39 :: daniel@dga.unicamp.br -> :: 2010
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Access Date2020, Nov. 28

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