Expert system for color image retrieval
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, HW | - |
dc.contributor.author | Park, HS | - |
dc.contributor.author | Jang, DS | - |
dc.date.accessioned | 2021-09-09T06:55:40Z | - |
dc.date.available | 2021-09-09T06:55:40Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2005-02 | - |
dc.identifier.issn | 0957-4174 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/123257 | - |
dc.description.abstract | Recently, as Web and various databases contain a large number of images, content-based image retrieval (CBIR) applications are greatly needed. This paper proposes a new image retrieval system using color-spatial information from those applications. First, this paper suggests two kinds of indexing keys to prune away irrelevant images to a given query image: major colors' set (MCS) signature related with color information and distribution block signature (DBS) related with spatial information. After successively applying these filters to a large database, we get only small amount of high potential candidates that are somewhat similar to a query image. Then we make use of the quad modeling (QM) method to set the initial weights of two-dimensional cell in a query image according to each major color. Finally, we retrieve more similar images from the database by comparing a query image with candidate images through a similarity measuring function associated with the weights. In that procedure, we use a new relevance feedback mechanism. This feedback enhances the retrieval effectiveness by dynamically modulating the weights of color-spatial information. Experiments show that the proposed system is not only efficient but also effective. (C) 2004 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | RELEVANCE FEEDBACK | - |
dc.title | Expert system for color image retrieval | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jang, DS | - |
dc.identifier.doi | 10.1016/j.eswa.2004.10.018 | - |
dc.identifier.scopusid | 2-s2.0-11244329071 | - |
dc.identifier.wosid | 000226572200015 | - |
dc.identifier.bibliographicCitation | EXPERT SYSTEMS WITH APPLICATIONS, v.28, no.2, pp.347 - 357 | - |
dc.relation.isPartOf | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.title | EXPERT SYSTEMS WITH APPLICATIONS | - |
dc.citation.volume | 28 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 347 | - |
dc.citation.endPage | 357 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.subject.keywordPlus | RELEVANCE FEEDBACK | - |
dc.subject.keywordAuthor | MCS (major colors&apos | - |
dc.subject.keywordAuthor | set) signature | - |
dc.subject.keywordAuthor | DBS (distribution block signature) | - |
dc.subject.keywordAuthor | QM (quad modeling) | - |
dc.subject.keywordAuthor | CBIR (content-based image retrieval) | - |
dc.subject.keywordAuthor | relevance feedback | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea 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.