A fast region of interest extraction approach based on stentiford model of visual attention

The model of visual attention proposed by Stentiford can effectively identify salient regions of an image. Since Stentiford model is produced by using evolutionary programming (EP), which usually involves a lot of computation, a fast region of interest (ROI) extraction approach is proposed. The input image is firstly bilinear down-sampled. The visual attention map is calculated with occurrence frequency of a region in the image. The candidate ROI is obtained after filling holes and filtering isolated points. The actual ROI is extracted by scaling the candidate ROI with bilinear interpolation. Experimental results show that the proposed approach can faster extract ROI, and have a more accurate ROI detection as well.