A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
In complex human-machine systems, the human operator is often required to intervene to detect and solve problems. Given this increased reliance on the human in these critical human...
Brian F. Gore, Becky L. Hooey, Christopher D. Wick...
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...