| K. Rapantzikos, Y. Avrithis, S. Kollias |
| Handling Uncertainty in Video Analysis With Spatiotemporal Visual Attention |
| Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’05), Reno, Nevada, May 22-25, 2005 |
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ABSTRACT
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| In natural vision, we center our fixation on the most informative points in a scene in order to reduce our overall uncertainty about the scene and help interpret it. Even if we are looking for a specific stimulus around us, we face a great amount of uncertainty since that stimulus could be in any spatial location. Visual attention (VA) schemes have been proposed by researchers to account for the ability of the human eye to quickly fixate on informative regions. Recently, VA in images, and especially saliency-based VA, became an active research topic of the computer vision community. The proposed work provides an extension towards VA in video sequences by integrating spatiotemporal information. The potential applications include video classification, scene understanding, surveillance and segmentation.
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| 09 March , 2005 |
| K. Rapantzikos, Y. Avrithis, S. Kollias, "Handling Uncertainty in Video Analysis With Spatiotemporal Visual Attention", Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’05), Reno, Nevada, May 22-25, 2005 |
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