Shot Boundary Detection Based on Mutual Information and Canny Edge Detector

Shot boundary detection servers as the preliminary step to video retrieval. Most of error detections in the present algorithms are caused by object and camera. Many researchers make use of mutual information to detect shot boundary, and the effect is good, however, object motion reduce performance of algorithm in the methods. In this paper, we present a novel method of shot boundary detection based on the knowledge of mutual information and Canny edge detector. We extract video frame edge using Canny edge detector, then distinguish object motion and shot transform effectively by analyzing frame edge differences, reducing error detections caused by object motion, improving recall and precision. Experiments prove this method is robust to object motion, performance is better.