计算机工程2011，Vol.37Issue(18)：281-283,286,4.
基于关联图谱的视频片段聚类
Video Clips Clustering Based on Spectral of Correlative Graph
摘要
Abstract
This paper proposes video clips clustering method based on spectral of correlative graph. It constructs the correlative graph of the video clips, changes it to an adjacency matrix, and extracts the spectral characteristics of adjacency matrix which includes the leading eigenvalues, inter-mode adjacency matrices and inter-mode edge-distance. These vectors are embedded into the pattern space by using Principal Component Analysis(PCA) and Independent Component Analysis(ICA), and k-means method is used for clustering analysis. Experimental results show that the method is effective in distinguishing different types of video clips.关键词
关联图谱/主成分分析/独立成分分析/谱特征/模式空间/k-means聚类Key words
spectral of correlative graph/ Principal Component Analysis(PCA)/ Independent Component Analysis(ICA)/ spectral characteristic/ pattern space/ k-means clustering分类
信息技术与安全科学引用本文复制引用
吴永龙,符茂胜,罗斌..基于关联图谱的视频片段聚类[J].计算机工程,2011,37(18):281-283,286,4.基金项目
国家自然科学基金资助项日(60772122) （60772122）
高校博士点基金资助项目(20070357001) （20070357001）
安徽省教育厅自然科学重点科研计划基金资助项目(KJ2010A326) （KJ2010A326）
