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논문검색

A Novel Video Retrieval System Using GED-based Similarity Measure

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Generalized Eigenvalue Decomposition (GED)
 3. Video Retrieval Using GED
  3.1. Feature-Shot Matrix Extraction
  3.2. Dimension Transformation Using GED
  3.3. Video Retrieval Algorithm
 4. Experimental Results
 5. Conclusion
 References

저자정보

  • Ali Amiri, Mahmood Fathy Computer Engineering Department, Iran University of Science and Technology
  • Atusa Naseri Computer Engineering Department, Iran University of Science and Technology

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