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文章基本信息

  • 标题:A Novel Video Retrieval System Using GED-based Similarity Measure
  • 本地全文:下载
  • 作者:Ali Amiri ; Mahmood Fathy ; Atusa Naseri
  • 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.
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