Name
Title | ||
|---|---|---|
In depth analysis and evaluation of saliency-based color image indexing methods using wavelet salient features |
Abstract | ||
|---|---|---|
Nowadays, most of the research works in the area of image retrieval try to build an image signature by considering the image as a whole. In this paper, we proposed an alternative based on the detection of some salient points in the image. For this purpose, we propose a new efficient salient point detector based on a wavelet transform. The efficiency of our detector lies in the representation of the wavelet coefficients by a zerotree data structure and by a saliency formulation that does not favor any direction. Thus, the detected salient points are located on sharp region boundaries whatever their direction. From the detected salient points, we build a color/texture signature by using jointly the well-known color correlogram extended to salient features and rotated wavelet filter responses. Experimental results conducted by adopting a global salient approach and a local salient approach show the effectiveness of the proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s11042-006-0036-0 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Image indexing and recognition,Salient point detection,Wavelet analysis,Color and texture features | Computer vision,Pattern recognition,Computer science,Salience (neuroscience),Image retrieval,Search engine indexing,Artificial intelligence,Correlogram,Wavelet,Color image,Wavelet transform,Salient | Journal |
Volume | Issue | ISSN |
31 | 1 | 1380-7501 |
Citations | PageRank | References |
11 | 0.74 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christophe Laurent | 1 | 25 | 1.88 |
| Nathalie Laurent | 2 | 46 | 5.33 |
| Mariette Maurizot | 3 | 11 | 0.74 |
| Thierry Dorval | 4 | 22 | 3.23 |