Video Segmentation with the Support of Audio Segmentation and Classification

Video structure extraction is essential to automatic and contentbased organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have developed, it is still difficult to extract scene structures or group shots into scenes. In this paper, we present a novel audio assisted video segmentation scheme, in which audio and color information is integrated in video scene extraction. A novel audio segmentation scheme is developed to segment audio tracks into speech, music, environmental sound and silence segments. A robust algorithm for shot grouping based on correlation analysis is also developed to further enhance the scene extraction accuracy.