Name
Title | ||
|---|---|---|
Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks. |
Abstract | ||
|---|---|---|
Stereoscopic saliency detection plays an important role in various stereoscopic video processing applications. However, conventional stereoscopic video saliency detection methods mainly use independent low-level features instead of extracting them automatically, and thus, they ignore the intrinsic relationship between the spatial and temporal information. In this paper, we propose a novel stereosc... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2018.2885229 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Feature extraction,Saliency detection,Three-dimensional displays,Stereo image processing,Visualization,Spatiotemporal phenomena,Video sequences | Computer vision,Pattern recognition,Convolutional neural network,Salience (neuroscience),Stereoscopy,Deconvolution,Visual attention,Artificial intelligence,Stereoscopic video,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 5 | 1057-7149 |
Citations | PageRank | References |
2 | 0.42 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuming Fang | 1 | 1247 | 75.50 |
| Guanqun Ding | 2 | 7 | 2.86 |
| Jia Li | 3 | 524 | 42.09 |
| Zhijun Fang | 4 | 342 | 33.94 |