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Content Provider | IEEE Xplore Digital Library |
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Author | Iatsun, Iana Larabi, Mohamed-Chaker Fernandez-Maloigne, Christine |
Copyright Year | 2014 |
Description | Author affiliation: XLIM, dept. SIC, UMR CNRS 7252, Université de Poitiers, France (Iatsun, Iana; Larabi, Mohamed-Chaker; Fernandez-Maloigne, Christine) |
Abstract | Modeling visual attention is an important stage for the optimization of image processing systems nowadays. Several models have been already developed for 2D static and dynamic content, but only few attempts can be found for stereoscopic 3D content. In this work we propose a saliency model for stereoscopic 3D video. This model is based the fusion of three maps i.e. spatial, temporal and depth. It relies on interest point features known for being close to human visual attention. Moreover, since 3D perception is mostly based on monocular cues, depth information is obtained using a monocular model predicting the depth position of objects. Several fusion strategies have been experimented in order to determine the best match for our model. Finally, our approach has been validated using state-of-the-art metrics in comparison to attention maps obtained by eye-tracking experiments, and showed good performance. |
Starting Page | 5397 |
Ending Page | 5401 |
File Size | 374527 |
Page Count | 5 |
File Format | |
ISBN | 9781479957514 |
DOI | 10.1109/ICIP.2014.7026092 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-10-27 |
Publisher Place | France |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Three-dimensional displays Solid modeling Visualization Computational modeling Stereo image processing Mathematical model Performance evaluation visual attention Saliency interest points monocular depth cues stereoscopic 3D |
Content Type | Text |
Resource Type | Article |
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