Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2019-07-26T06:18:39Z | - |
dc.date.available | 2019-07-26T06:18:39Z | - |
dc.date.issued | 2006-05 | - |
dc.identifier.citation | International Conference on Computational Science and Its Applications: Computational Science and Its Applications - ICCSA 2006, v. 3984, Page. 404-411 | en_US |
dc.identifier.isbn | 978-3-540-34079-9 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007/11751649_44 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/107939 | - |
dc.description.abstract | Most existing methods for content-based image retrieval handle an image as a whole, instead of focusing on an object of interest. This paper proposes object-based image retrieval based on the dominant color pairs between adjacent regions. From a segmented image, the dominant color pairs between adjacent regions are extracted to produce color adjacency matrix, from which candidate regions of DB images are selected. The similarity measure between the query image and candidate regions in DB images is computed based on the color correlogram technique. Experimental results show the performance improvement of the proposed method over existing methods. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SPRINGER-VERLAG BERLIN | en_US |
dc.title | Object-based Image Retrieval Using Dominant Color Pairs Between Adjacent Regions | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/11751649_44 | - |
dc.relation.journal | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.contributor.googleauthor | Park, K.T. | - |
dc.contributor.googleauthor | Moon, Y.S. | - |
dc.relation.code | 2007206327 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DIVISION OF COMPUTER SCIENCE | - |
dc.identifier.pid | ysmoon | - |
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