Learning Gaze Transitions from Depth to Improve Video Saliency Estimation
© 2017 IEEE. In this paper we introduce a novel Depth-Aware Video Saliency approach to predict human focus of attention when viewing videos that contain a depth map (RGBD) on a 2D screen. Saliency estimation in this scenario is highly important since in the near future 3D video content will be easil...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-11-09T21:59:21Z.
|
| Subjects: | |
| Online Access: | Get fulltext |