Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
High-order contrasts for independent component analysis
Neural Computation
Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency
Attention in Cognitive Systems
Hi-index | 0.00 |
In this paper, a proposal which quantifies visual saliency based on an information theoretic definition is evaluated with respect to visual psychophysics paradigms. Analysis reveals that the proposal explains a broad range of results from classic visual search tasks, including many for which only specialized models have had success. As a whole, the results provide strong behavioral support for a model of visual saliency based on information, supplementing earlier work revealing the efficacy of the approach in predicting primate fixation data.