INFLUENCE OF COLOR ON VISUAL SALIENCY IN SHORT VIDEOS

The architecture of computational models of visual attention designed for videos is generally the result of a direct extension of techniques dedicated to static images. These models try to extract the salient areas of dynamic scenes (i.e. areas that may capture visual attention) by fusing static saliency maps computed frame per frame with saliency maps independently obtained from dynamic features. The problem is that there is no evidence for assuming that visual saliency of videos can be accurately identified from such a fusion process. In addition, there is no guarantee that visual saliency is the same for still and dynamic scenes. Then we propose to investigate this issue for short videos from the perspective of color information that has been clearly identified as an important salient property in static images.