A novel video retrieval system using GED-based similarity measure

被引：0

作者：

Amiri, Ali ^{[1
]}

Fathy, Mahmood ^{[1
]}

Naseri, Atusa ^{[1
]}

机构：

[1] Computer Engineering Department, Iran University of Science and Technology, 1684613114 Narmak, Tehran, Iran

来源：

International Journal of Signal Processing, Image Processing and Pattern Recognition | 2008年 / 2卷 / 03期

关键词：

Image retrieval - Eigenvalues and eigenfunctions;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a novel video retrieval system using Generalized Eigenvalue Decomposition (GED). The system contains two major subsystems: database creation and database searching. In both subsystems, we propose new methods for shot-feature extraction, feature dimension transformation and feature similarity measuring base on GED. Experimental results confirm the effectiveness of our proposed system.

引用

页码：99 / 108

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