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Actor Based Video Indexing and Retrieval Using Visual Information

  • Mohammad Khairul Islam
  • Soon-Tak Lee
  • Joong-Hwan Baek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

Content-based video indexing and retrieval algorithms are presented in this paper that aim at temporally indexing a video sequence according to actors. Our system splits a video into a sequence of a few representative frames. We use color information and then SGLD matrix on the representative frames for face region detection. Detected faces are used to build a face database. We construct eigen faces applying PCA on the faces in the face database for extracting important features. Extracted features are then used in MPM for identifying the input face from the training faces. Experimental result shows that our approach can correctly recognize 95.3% and 90.84% of the faces from the AT&T face database and video sequence respectively.

Keywords

Face Recognition Video Sequence Face Image Classification Tree Face Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mohammad Khairul Islam
    • 1
  • Soon-Tak Lee
    • 1
  • Joong-Hwan Baek
    • 1
  1. 1.Department of Information and Telecommunications EngineeringHankuk Aviation UniversityGoyang-city, Gyeonggi-doKorea

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