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Optimal Factor Analysis and Applications to Content-Based Image Retrieval

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Computer Vision and Computer Graphics. Theory and Applications (VISIGRAPP 2007)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 21))

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Abstract

We formulate and develop computational strategies for Optimal Factor Analysis (OFA), a linear dimension reduction technique designed to learn low-dimensional representations that optimize discrimination based on the nearest-neighbor classifier. The methods are applied to content-based image categorization and retrieval using a representation of images by histograms of their spectral components. Various experiments are carried out and the results are compared to those that have been previously reported for some other image retrieval systems.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Florida State University, Tallahassee, FL 32306, U.S.A.

    Yuhua Zhu & Xiuwen Liu

  2. Dept. of Mathematics, Florida State University, Tallahassee, FL 32306, U.S.A.

    Washington Mio

Authors
  1. Yuhua Zhu
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  2. Washington Mio
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  3. Xiuwen Liu
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Editor information

Editors and Affiliations

  1. Departamento de Sistemas e Informatica, Escola Superior de Tecnologia do IPS, Estefanilha,, Rua do Vale de Chaves, 2910, Setúbal, Portugal

    José Braz

  2. INSTICC, Avenida D. Manuel I, 2910, Setúbal, Portugal

    Alpesh Ranchordas

  3. Institute for Systems and Robotics, Department of Electrical and Computer Engineering Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Hélder J. Araújo

  4. IST/INESC-ID, Rua Alves Redol 9, 1000-029, Lisboa, Portugal

    João Madeiras Pereira

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhu, Y., Mio, W., Liu, X. (2008). Optimal Factor Analysis and Applications to Content-Based Image Retrieval. In: Braz, J., Ranchordas, A., Araújo, H.J., Pereira, J.M. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2007. Communications in Computer and Information Science, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89682-1_12

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  • DOI: https://doi.org/10.1007/978-3-540-89682-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89681-4

  • Online ISBN: 978-3-540-89682-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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