Scene break detection and classification using a block-wise difference method

We introduce a new approach to the detection and the classification of effects in video sequences. We deal with effects such as cuts, fades, dissolves, and camera motion. Global motion compensation based on block matching and a measure of block mean intensities are used to detect all the effects. We compute the dominant motion vectors to detect the camera motion for each shot and we use the percentage of blocks with sudden intensity variations or gradual intensity change to detect change effects between video shots. The approach can handle complex motion during gradual effects as well as the precise detection of effect lengths. Both synthetic and real evidence is presented to demonstrate how this approach can efficiently classify effects in video sequences involving significant motion