A Method for Cut Detection Based on Visual Rhythm

The visual rhythm is a simplification of the video content represented by a 2D image. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video effect is transformed into a different pattern on the visual rhythm. To detect sharp video transitions (cuts) we use topological and morphological tools instead of using a dissimilarity measure. Thus, we propose a method to detect sharp video transitions between two consecutive shots. We present a comparative analysis of our method with respect to some other methods. We also propose a variant of this method to detect the position of flashes in a video.