Name
Abstract | ||
|---|---|---|
The objective of this paper is twofold. First, we introduce an effective region-based solution for saliency detection. Then, we apply the achieved saliency map to better encode the image features for solving object recognition task. To find the perceptually and semantically meaningful salient regions, we extract superpixels based on an adaptive mean shift algorithm as the basic elements for salien... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TCSVT.2013.2280096 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Object recognition,Encoding,Image color analysis,Clustering algorithms,Image coding,Image representation,Feature extraction | Computer vision,Kadir–Brady saliency detector,Pattern recognition,Neural coding,Salience (neuroscience),Feature (computer vision),Computer science,Feature extraction,Artificial intelligence,Mean-shift,Cluster analysis,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
24 | 5 | 1051-8215 |
Citations | PageRank | References |
77 | 1.71 | 46 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhixiang Ren | 1 | 196 | 8.00 |
| Shenghua Gao | 2 | 1607 | 66.89 |
| Liang-Tien Chia | 3 | 1921 | 104.77 |
| Ivor W. Tsang | 4 | 5396 | 248.44 |