The Community for Technology Leaders
2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (2016)
Seattle, WA, USA
July 11, 2016 to July 15, 2016
ISBN: 978-1-5090-1553-5
pp: 1-6
Yuming Fang , School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China
Chi Zhang , School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China
Jing Li , LUNAM Universit, Universit de Nantes, IRCCyN UMR CNRS 6597, Polytech Nantes, France
Matthieu Perreira Da Silva , LUNAM Universit, Universit de Nantes, IRCCyN UMR CNRS 6597, Polytech Nantes, France
Patrick Le Callet , LUNAM Universit, Universit de Nantes, IRCCyN UMR CNRS 6597, Polytech Nantes, France
ABSTRACT
In this paper, we propose a computational model of visual attention for stereoscopic video. Low-level visual features including color, luminance, texture and depth are used to calculate feature contrast for spatial saliency of stereoscopic video frames. Besides, the proposed model adopts motion features to compute the temporal saliency. Here, we extract the relative planar and depth motion for temporal saliency calculation. The final saliency map is computed by fusing the spatial and temporal saliency together. Experimental results show the promising performance of the proposed method in saliency prediction for stereoscopic video.
INDEX TERMS
Stereo image processing, Visualization, Feature extraction, Computational modeling, Image color analysis, Two dimensional displays, Three-dimensional displays
CITATION

Y. Fang, Chi Zhang, J. Li, M. P. Da Silva and P. Le Callet, "Visual attention modeling for stereoscopic video," 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, WA, USA, 2016, pp. 1-6.
doi:10.1109/ICMEW.2016.7574768
99 ms
(Ver 3.3 (11022016))