Video abrupt shot change detection algorithm based on BP network
基于BP神经网络的视频镜头突变检测算法*

There are some basic algorithms,including the template-matching algorithm,the histogram algorithm,etc,used to detect abrupt shot change in digital video,but they all need to fix on threshold and can't always attain high precision in practical detecting.This paper proposed a new BP neural network based video abrupt shot change detection algorithm.It selected template-matching twice-difference and histogram twice-difference as characters,utilized the neural network's ability of self-organization and self-learning to actualize abrupt shot change detection,then performed the flashlight detection to improve the detecting reliability.Experimental results show that this method achieves satisfying precision and recall of detecting shot boundaries compared with the conventional schemes,at the same time,it don't need threshold and easy to implement.