Name
Abstract | ||
|---|---|---|
•This paper proposes a novel visual saliency guided complex image retrieval model.•The overall saliency map is generated by the integration of direction, intensity and color saliency map.•To help describe the image pattern more clearly, we present the multi-feature fusion paradigm of images. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2018.08.010 | Pattern Recognition Letters |
Keywords | Field | DocType |
Visual saliency,Complex image,Image retrieval,Feature extraction | Computer vision,Saliency map,Pattern recognition,Image retrieval,Artificial intelligence,Cognitive load,Cognition,Mathematics,Visual saliency | Journal |
Volume | ISSN | Citations |
130 | 0167-8655 | 12 |
PageRank | References | Authors |
0.54 | 25 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoxiang Wang | 1 | 276 | 15.25 |
| Zhihui Li | 2 | 252 | 16.39 |
| Yang Li | 3 | 12 | 0.54 |
| B. B. Gupta | 4 | 518 | 46.49 |
| Chang Choi | 5 | 261 | 39.04 |