一种基于非监督聚类的视频镜头边界检测算法

广东工业大学学报 ›› 2006, Vol. 23 ›› Issue (4): 76-81.

一种基于非监督聚类的视频镜头边界检测算法

广东工业大学物理与光电工程学院；广东工业大学信息工程学院广东广州510006；广东广州510006；

出版日期:2006-11-10 发布日期:2006-11-10

A Method of Video Shot Boundary Detection Using Unsupervised Clustering

(1.Faculty of Applied Physics,Guangdong University of Technology,Ganzhou 510006,China;2.Faculty of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)

Online:2006-11-10 Published:2006-11-10

摘要/Abstract

摘要： 在分析归纳现有的镜头边界检测技术的基础上,提出了一种分层结构的基于非监督聚类的视频镜头边界检测算法.实验结果表明所提出的新算法不仅对切变的检测取得了较高的查全率和准确率,而且对目前技术仍不成熟的渐变检测也取得了较满意的结果.另外针对不同类型的视频,该算法的检测质量具有较强的鲁棒性.

关键词: 镜头边界检测:矩保持聚类:颜色聚合向量直方图；闪光检测；

Abstract: According to the analysis of the existing shot boundary detection algorithms,a new algorithm based on moment-preserving clustering is pooposed.Simulation results indicate that the proposed algorithm can not noly improve the recall and the precision of detecting shot boundaries,but slso provide satisfactory results of gradual shot boundaries detection.In addition,the algorithm is robust to various types of video sequence.

Key words: shot boundary detection； moment-preserving clustering； CCV histogram； flasshlight detection；

陈静；刘洋； . 一种基于非监督聚类的视频镜头边界检测算法[J]. 广东工业大学学报, 2006, 23(4): 76-81.

CHEN Jing~1,LIU Yang~2. A Method of Video Shot Boundary Detection Using Unsupervised Clustering[J]. Journal of Guangdong University of Technology, 2006, 23(4): 76-81.

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