A composition-based image retrieval using line feature

dc.contributor.authorHwang, Jooyeon
dc.contributor.authorLim, Dongsup
dc.contributor.authorPaik, Doowon
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-01-11T12:44:40Z
dc.date.available2013-01-11T12:44:40Z
dc.date.issued2009
dc.description.abstractIn this paper, we propose an image retrieval scheme that retrieves compositionally similar images with the query image from the line-used image set. To develop a new effective similarity measurement, we use line feature to discriminate in similarity, by investigating the relation between the value of the property and the degree of the compositional similarity. We have developed a similarity measure and compared effectiveness with a simple similarity measure in the sense of recall and precision. Our result proves that proposed scheme provides higher effectiveness.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationWSCG '2009: Poster Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 53-56.en
dc.identifier.isbn978-80-86943-95-4
dc.identifier.urihttp://wscg.zcu.cz/wscg2009/Papers_2009/!_WSCG2009_Poster_final.zip
dc.identifier.urihttp://hdl.handle.net/11025/779
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2009: Poster Proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectobrazové vyhledávánícs
dc.subjectpodobnost kompozicecs
dc.subject.translatedimage retrievalen
dc.subject.translatedcompositional similarityen
dc.titleA composition-based image retrieval using line featureen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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