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POSTER: A composition-based image retrieval using line feature

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dc.contributor.authorHwang, J.-
dc.contributor.authorLim, D.-
dc.contributor.authorPaik, D.-
dc.date.available2019-04-10T11:14:09Z-
dc.date.created2018-04-17-
dc.date.issued2009-
dc.identifier.isbn9788086943930-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33485-
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.-
dc.relation.isPartOf17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings-
dc.titlePOSTER: A composition-based image retrieval using line feature-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009, pp.53 - 56-
dc.description.journalClass2-
dc.identifier.scopusid2-s2.0-84861318056-
dc.citation.conferenceDate2009-02-02-
dc.citation.conferencePlacePlzen-
dc.citation.endPage56-
dc.citation.startPage53-
dc.citation.title17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009-
dc.contributor.affiliatedAuthorPaik, D.-
dc.type.docTypeConference Paper-
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