Saliency map for visual attention region prediction based on fuzzy neural network

Visual attention region prediction has been paid much attention by researchers in intelligent systems recent years because it can make the interaction between human and intelligent agents to be more convenient. In this paper, the prediction method of the visual attention region inferred by using fuzzy neural network (FNN) after extracting and computing of images feature maps and saliency maps was proposed. A method for training FNN is also proposed. A user experiment was conducted to evaluate the prediction effect of proposed method by making surveys for the prediction results. The results indicated that prediction method proposed by us has a better performance in the level of attention regions´ position prediction according to different images.