基于聚类的视频专题演化分析方法  

Video Topic Evolution Analysis Based on Clustering

作　　者：谢毓湘[1] 栾悉道[2] 郭延明[1] 李琛[1] 牛晓[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,长沙410073 [2]长沙学院数学与计算机科学系,长沙410003

出　　处：《计算机科学》2016年第7期62-66,共5页Computer Science

基　　金：国家自然科学基金(61571453);湖南省自然科学基金项目(14JJ3010);湖南省教育厅重点项目(15A020)资助

摘　　要：视频专题演化分析有助于从海量的视频数据中发现有价值的模式。研究了基于聚类的视频专题演化分析方法,首先基于二部图对视频的视觉相似性进行分析;在此基础上,为增强同一专题视频之间的关联度以及不同专题视频之间的区分度,采用基于链路分析的方法对视频专题进行聚类,进而对视频专题的演化过程进行分析;最后通过实验证明了所提方法的有效性。Video topic evolution analysis is contributive to the discovery of valuable pattern trom massive vlaeo aata. in this paper, a video topic evolution analysis method based on clustering was proposed. Firstly, the paper discussed how to analyze the visual similarity between video key frames based on bipartite graphs. Secondly, we proposed a clustering method by applying link analysis to the clustering of video topics so that the relationship between the same video topics and the otherness among different video topics could be enhanced. Thirdly, we revealed the evolution procedure of video topics. Finally, some experiments were carried out to prove the effectiveness of the proposed method.

关 键 词：视频专题 聚类 链路分析 演化进程 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]