Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11751649_44 | ICCSA (5) |
Keywords | Field | DocType |
dominant color pair,object-based image retrieval,query image,adjacent region,db image,segmented image,content-based image retrieval,color correlogram technique,candidate region,color adjacency matrix,adjacency matrix,image retrieval | Adjacency matrix,Computer vision,Similitude,Color histogram,Similarity measure,Computer science,Image retrieval,Artificial intelligence,Correlogram,Performance improvement,Color image | Conference |
Volume | ISSN | ISBN |
3984 | 0302-9743 | 3-540-34079-3 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ki Tae Park | 1 | 24 | 6.23 |
| Young Shik Moon | 2 | 110 | 16.82 |