Applying Acoustic Analysis to Video Segmentation

Video segmentation is a key step for the long videos recorded from Television channels to be represented in the hierarchical structure. In this paper, a novel approach based on acoustic cues for automatic segmenting television stream into individual programs is proposed. This presented method is composed of the following steps: Several sets of repetitions in the audio track is detected by using silence detection and robust audio hashing, The found repetitions are treated as advertisements if the range of their length is from 5 seconds to 120 seconds, Programs are segmented from the recorded TV streams using the detected advertisements. Experiments on real-world TV recordings show the effectiveness of the proposed approach.