Name
Abstract | ||
|---|---|---|
This paper presents two image features, multi-orientation color complexity (MOCC) and color-space relation (CSR). MOCC refers to the color complexity. CSR concerns the spatial relations of similar color pixels in an image. By combining both features, an image retrieval system was developed. The experimental results revealed that such a system can perform expressively at accurate recognition rate. To further speed up this system, a clustering based filer was applied to quickly sieve out the most unqualified database images. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11751649_42 | ICCSA (5) |
Keywords | Field | DocType |
accurate recognition rate,color complexity,fast image retrieval system,similar color pixel,color-space relation,image feature,multi-orientation color complexity,spatial relation,image retrieval system,color-texture feature,unqualified database image,color space,image features,image retrieval | Computer vision,Color space,Computer science,Feature (computer vision),Image processing,Image retrieval,Artificial intelligence,Pixel,Cluster analysis,Color image,Visual Word | Conference |
Volume | ISSN | ISBN |
3984 | 0302-9743 | 3-540-34079-3 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuen-Horng Lin | 1 | 231 | 15.93 |
| Kai-Hung Chen | 2 | 20 | 1.00 |
| Yung-Kuan Chan | 3 | 476 | 33.67 |