A Method of Video Shot Boundary Detection Using Unsupervised Clustering

CHEN Jing; LIU Yang

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A Method of Video Shot Boundary Detection Using Unsupervised Clustering

更新时间：2026-05-27

- A Method of Video Shot Boundary Detection Using Unsupervised Clustering
- Vol. 23, Issue 4, Pages: 76-81(2006)
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- Online First：10 November 2006，
  
  Published：2006
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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, LIU Yang. A Method of Video Shot Boundary Detection Using Unsupervised Clustering[J]. 2006, 23(4): 76-81.
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. DOI：

CHEN Jing, LIU Yang. A Method of Video Shot Boundary Detection Using Unsupervised Clustering[J]. 2006, 23(4): 76-81. DOI：

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.

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.

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references

Arun Hampapur,Ramesh Jain,Terry E Weymouth. Production model based digital video segmentation[J], 1995

HongJiang Zhang,Atreyi Kankanhalli,Stephen W. Smoliar. Automatic partitioning of full-motion video[J], 1993

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