Video summarization using a neurodynamical model of visual attention

We propose a new approach to select the representative frames for video summarization. The representative frames are selected based on the results of the analysis of the events depicted in the shot in terms of regions of interest (ROIs). These ROIs are obtained from a biologically based computational model of visual attention. To select the video frames part of the final visual summary, we exploit an adaptive temporal sampling method that analyzes the visual feature distribution of the ROIs. Preliminary results are presented and discussed.