Improvement of Cut Detection by Audio Signals Analysis with a Fuzzy Theory

Abstract

This paper describes a study of improvement for cut detection of video signals. The existent methods often fail to detect cut positions at fading in, out, or wiping scenes. The proposed algorithm improves them by using a fuzzy c-means clustering method. The clustered targets are PARCOR coefficients computed from audio signals corresponding to the video ones. The obtained cluster values are varied regardless of the failures if the audio signals are alternated. Therefore, it is expected that the alteration of the cluster values can assist the cut detection effectively.