首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于聚类的视频镜头分割和关键帧提取
引用本文:潘磊,吴小俊,尤媛媛.基于聚类的视频镜头分割和关键帧提取[J].红外与激光工程,2005,34(3):341-344.
作者姓名:潘磊  吴小俊  尤媛媛
作者单位:江苏科技大学,电子信息学院,江苏,镇江,212003;江苏科技大学,电子信息学院,江苏,镇江,212003;江苏科技大学,电子信息学院,江苏,镇江,212003
基金项目:江苏省自然科学基金资助项目(苏科基2002-006)
摘    要:镜头分割是基于内容的视频检索和浏览首先要解决的关键技术。视频分割为镜头后,下一步的工作就是进行关键帧提取,用以描述镜头的主要内容。提出了一种改进的基于聚类的镜头分割和关键帧提取算法.在无监督聚类中引入一个参考变量,解决了利用无监督聚类进行镜头分割和关键帧提取时可能产生的帧序不连续或分割错误的问题。在关键帧提取阶段,将镜头分割为子镜头后,引入图像熵的概念提取关键帧。实验结果表明了改进算法在镜头分割和关键帧提取方面的有效性。

关 键 词:镜头分割  关键帧  聚类  图像熵
文章编号:1007-2276(2005)03-0341-04
收稿时间:2004/8/1
修稿时间:2004年8月1日

Video shot segmentation and key frame extraction based on clustering
Pan Lei,WU Xiao-jun,YOU Yuan-yuan.Video shot segmentation and key frame extraction based on clustering[J].Infrared and Laser Engineering,2005,34(3):341-344.
Authors:Pan Lei  WU Xiao-jun  YOU Yuan-yuan
Abstract:Shot segmentation is a vital technology that must be resolved firstly in video retrieval and browse. Then key frame extraction will be carried out after shot segmentation to describe main content of shot. An improved algorithm for shot segmentation and key frame extraction based on clustering is proposed, a referenced variable is used in unsupervised clustering to resolve the frame sequence's incontinuity or false segmentation problems which can be caused probably by unsupervised clustering. During key frame extraction, the concept of image entropy is used after shot being segmented into sub-shots. Experimental results demonstrate the efficiency of the improved algorithm in shot segmentation and key frame extraction.
Keywords:Shot segmentation  Key frame  Clustering  Image entropy
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号