文章基本信息

标题：A Novel Video Retrieval System Using GED-based Similarity Measure
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作者：Ali Amiri ; Mahmood Fathy ; Atusa Naseri 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2009
卷号：2
期号：3
出版社：SERSC
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.
关键词：We Video retrieval; Spatio-Temporal Features; dimension transformation; Generalized Eigenvalue;Decomposition.