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基于BP神经网络的视频镜头突变检测算法


□ 王让定 李雪芳

  (宁波大学 信息科学与工程学院, 浙江 宁波315211)

  

  摘要:对于数字视频镜头突变切换的检测,一般有模板匹配法、直方图法等基本算法,但这些算法都需要确定阈值,并在实际检测中通常达不到较高的检测精度。提出了一种新的基于BP神经网络的视频镜头突变检测算法,该算法选取模板匹配二次差分和直方图二次差分作为特征,利用神经网络的自组织、自学习能力实现镜头突变检测,然后以闪光检测来提高检测的可靠性。实验结果表明,该算法能够有效地检测视频的镜头突变,无须设定阈值,具有计算简单、易于实现的优点。

  关键词:镜头分割;突变检测;BP网络;闪光检测

  中图分类号:TP391文献标志码:A

  文章编号:1001-3695(2008)11-3480-03

  

  Video abrupt shot change detection algorithm based on BP network

  

  WANG Rang-ding,LI Xue-fang

  (College of Information Science & Engineering, Ningbo University, Ningbo Zhejiang 315211, China)

  Abstract: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.

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