Demo. Video scene segmentation system using audio-visual features

This work demonstrates a new approach to video temporal segmentation into scenes. The utilized technique is based on an audio-visual extension of the well-known method of the Scene Transition Graph (STG). This multi-modal extension exploits both low- and high-level audio-visual descriptors to construct distinct STGs. These STGs are employed into a probabilistic framework that is used for estimating a confidence value on each shot boundary also being a scene boundary. Finally, the thresholding of these confidence values generates the set of experimentally estimated scene boundaries. In this demo both the scene segmentation outcome and some intermediate features that lead to it are demonstrated