Visual attention application in remote scene

This paper proposes a visual attention algorithm base on the application of remote scene self-guidance analysis. The whole processes are including CIELAB color system conversion, saliency map established and visual attention algorithm, and in the process of saliency map established, it is consist of three steps which are Multi-scale patches calculation, PCA (Principle Component Analysis) and Multi-scale of Gaussian blurry. The whole algorithm model achieved visual attention and self-adaptive guidance analysis by computers.