To determine Regions of Interest (ROI) in a scene, percep-tual saliency of regions has to be measured. When scenes are viewed with the same context and motivation, these ROIs are often highly correlated among different people. As a result, it is possible to develop a computational model of visual attention that can analyze a scene and accurately esti-mate the location of viewers ROIs. Color saliency is inves-tigated in this paper. In particular, a subjective experiment has been carried out to estimate which hues attract more human attention. The performance of the visual attention model including color saliency are assessed in the context of a segmentation evaluation application.