Name
Abstract | ||
|---|---|---|
Recently, videoconferencing has been popular in multimedia systems, such as FaceTime and Skype. In videoconferencing, almost every frame contains a human face. Therefore, it is important to predict human visual attention on face videos by saliency detection, as saliency may be used as a guide to the region of interest for the content-based applications of face videos. In this paper, we propose a d... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMM.2017.2767784 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Videos,Face,Visualization,Feature extraction,Gaze tracking,Mouth,Object detection | Computer vision,Object detection,Pattern recognition,Object-class detection,Computer science,Salience (neuroscience),Visualization,Particle filter,Feature extraction,Artificial intelligence,Videoconferencing,Mixture model | Journal |
Volume | Issue | ISSN |
20 | 6 | 1520-9210 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mai Xu | 1 | 509 | 57.90 |
| Yun Ren | 2 | 25 | 5.89 |
| Zulin Wang | 3 | 216 | 29.63 |
| Jingxian Liu | 4 | 60 | 14.29 |
| Xiaoming Tao | 5 | 321 | 53.93 |