Name
Abstract | ||
|---|---|---|
In this paper, we present a novel approach to retrieve images that contain the query image as a part regardless of the size and position the query image appears. Images in Database are segmented in advance, for each major region obtained, a composite measurement of color, area percentage and position are stored as the feature. While retrieving, the query image is also first segmented, and then the major regions’ colors, their area ratios and spatial relationships are generated for narrowing the searching space. The utilization of multiple regions alleviates the influence of inaccurate segmentation, the presegmentation of images in database allows indexing of features of color regions and enables the fast retrieving. The experiment shows the advantages and weakness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/978-0-387-35592-4_6 | VDB |
Keywords | Field | DocType |
partial image retrieval,spatial relationships,color regions,image retrieval | Pattern recognition,Segmentation,Computer science,Image texture,Spatial relationship,Search engine indexing,Image retrieval,Artificial intelligence,Visual Word | Conference |
ISBN | Citations | PageRank |
1-4020-7060-8 | 1 | 0.38 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunyun Cao | 1 | 7 | 1.91 |
| Yoshitomo Yaginuma | 2 | 42 | 10.44 |
| Masao Sakauchi | 3 | 688 | 149.27 |