A Computational Model for Object-Based Visual Attention

Computational model for object-based visual attention is a hot research field. A computational model of object-based visual attention is proposed in this paper. This model mainly includes three key technologies which are perceptual objects extraction, attention value calculation of perceptual objects and focus of attention shift. Firstly spatial visual saliency of each pixel is calculated and a saliency map is generated. The most salient homogeneity regions are extracted based on their spatial visual saliency. The extracted salient regions can be considered as perceptual objects. Attention value of each perceptual object is computed according to its area, location and saliency. Then a hierarchical attention shift method is used in the proposed model. The proposed model has been tested on many natural images. Experiment results show that the proposed model is valid and the attention results are consistent with human visual system.