Hierarchical Key-Frame Based Video Shot Clustering Using Generalized Trace Kernel

被引：0

作者：

Amiri, Ali ^{[1
]}

Abdollahi, Neda ^{[2
]}

Jafari, Mohammad ^{[2
]}

Fathy, Mahmood ^{[3
]}

机构：

[1] Zanjan Univ, Comp Engn Grp, Zanjan, Iran

[2] Islamic Azad Univ, Dept Elect & Comp Engn, Zanjan, Iran

[3] Iran Univ Sci & Technol, Dept Comp Engn, Tehran, Iran

来源：

INNOVATIVE COMPUTING TECHNOLOGY | 2011年 / 241卷

关键词：

content based video retrieval; video indexing; trace kernel; shot clustering; key frame;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a new generalized trace kernel for measuring the similarity between data points of matrices form which have the same number of rows and different number of columns. Also, we propose a hierarchical clustering algorithm based on this kernel function. The clustering algorithm has been utilized in a video indexing system to cluster video shots. The experimental results on TRECVID 2006 data set confirm the effectiveness of the proposed kernel function and clustering algorithm.

引用

页码：251 / +

页数：2

共 49 条

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