On-line scene change detection of multicast video

Network-based computing is becoming an increasingly important area of research, whereby computational elements within a distributed infrastructure process/enhance the data that traverses through its path. We refer to these computations as online processing and this paper investigates scene change detection in the context of MBone-based proxies in the network. On-line processing varies from traditional offline processing schemes, where for example, the whole video scope is known as a priori, which allows multiple scans of the stored video files during video processing. The on-line processing system is designed to meet the requirements of real-time video multicasting over the Internet and to utilize the successful video parsing techniques available today. The proposed algorithms do scene change detection and extract key frames from video bitstreams sent through the MBone network. We study several algorithms based on histogram differences and evaluate them with respect to precision, recall, and processing latency. (C) 2001 Academic Press.