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...
| Auteurs principaux: | , , , , |
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| Autres auteurs: | |
| Format: | Article |
| Langue: | English |
| Publié: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Accès en ligne: | https://hdl.handle.net/1721.1/138091 |