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Ali Amiri

Ali Amiri, Mahmood Fathy, Atusa Naseri
A Novel Video Retrieval System Using GED-based Similarity Measure

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.



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