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Object-based image retrieval using dominant color pairs between adjacent regions

Title
Object-based image retrieval using dominant color pairs between adjacent regions
Author
박기태
Issue Date
2006-05
Publisher
SPRINGER-VERLAG BERLIN
Citation
International Conference on Computational Science and Its Applications: Computational Science and Its Applications - ICCSA 2006, v. 3984, Page. 404-411
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.
URI
https://link.springer.com/chapter/10.1007/11751649_44http://repository.hanyang.ac.kr/handle/20.500.11754/107938
ISBN
978-3-540-34079-9
DOI
10.1007/11751649_44
Appears in Collections:
ETC > 연구정보
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