Name
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 propose 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 | Venue | Field |
|---|---|---|
2004 | CGIV 2004: SECOND EUROPEAN CONFERENCE ON COLOR IN GRAPHICS, IMAGING, AND VISION - CONFERENCE PROCEEDINGS | Computer vision,Computer science,Search engine indexing,Photometry (optics),Artificial intelligence,Invariant (mathematics),Salient,Color image |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thierry Dorval | 1 | 22 | 3.23 |
| Christophe Laurent | 2 | 0 | 0.34 |
| Nathalie Laurent | 3 | 46 | 5.33 |