A motion analysis is applied to a signal to identify high-motion regions and low-motion regions. An analysis of low-level characteristics of the signal, such as a skin tone or contrast analysis, is used to generate a map of regions with low-level characteristics. The map is filtered to identify regions having both low-level characteristics and low motion. Based on a comparison of the area of the regions having both low-level characteristics and low motion to a threshold, regions of interest are identified. If the area is greater than the threshold, the regions of interest are identified as a function of the high-motion regions and of the regions that have both low-level characteristics and low motion. Otherwise, the regions of interest are identified as a function of the high-motion regions and of regions identified using face detection.