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A Novel Video Retrieval System Using GED-based Similarity Measure

Keywords: We Video retrieval , Spatio-Temporal Features , dimension transformation , Generalized Eigenvalue Decomposition

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Abstract:

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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