POSTER: A composition-based image retrieval using line feature
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, J. | - |
dc.contributor.author | Lim, D. | - |
dc.contributor.author | Paik, D. | - |
dc.date.available | 2019-04-10T11:14:09Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2009 | - |
dc.identifier.isbn | 9788086943930 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33485 | - |
dc.description.abstract | In 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.isPartOf | 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings | - |
dc.title | POSTER: A composition-based image retrieval using line feature | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009, pp.53 - 56 | - |
dc.description.journalClass | 2 | - |
dc.identifier.scopusid | 2-s2.0-84861318056 | - |
dc.citation.conferenceDate | 2009-02-02 | - |
dc.citation.conferencePlace | Plzen | - |
dc.citation.endPage | 56 | - |
dc.citation.startPage | 53 | - |
dc.citation.title | 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2009 | - |
dc.contributor.affiliatedAuthor | Paik, D. | - |
dc.type.docType | Conference Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.