Advertisement

FACERET: An Interactive Face Retrieval System Based on Self-Organizing Maps

  • Javier Ruiz-del-Solar
  • Pablo Navarrete
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2383)

Abstract

The basic problem in content-based image retrieval is the gap between the high-level descriptions used by humans to describe image contents and the low-level features, such as color, texture and shape, used to automatically index images in databases. This problem is even harder when there are non-trivial high-level human descriptions of the images, as in the case of face images. In these cases the employment of user interaction in the retrieval process is a good possibility to solve this task. In this context, FACERET, a content-based face retrieval system that uses self-organizing maps and user feedback is here introduced. Some simulations of the FACERET operation are also shown.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    J. Laaksonen, M. Koskela, S. Laakso and E. Oja, “PicSOM-content-based image retrieval with self-organizing maps”, Pattern Recognition Letters, vol. 21, 1199–1207, 2000.zbMATHCrossRefGoogle Scholar
  2. [2]
    P. Koikkalainen, Oja E., “Self-organizing hierarchical feature maps”, Proc. Of 1990 Int. Joint Conf. on Neural Networks, vol. II. IEEE, INNS, San Diego, CA, 1990.Google Scholar
  3. [3]
    P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET database and evaluation procedure for face recognition algorithms,” Image and Vision Computing J., Vol. 16, no. 5, 295–306, 1998.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Javier Ruiz-del-Solar
    • 1
  • Pablo Navarrete
    • 1
  1. 1.Dept. of Elec. Eng., Center for Web Research - Dept. of Computer ScienceUniversidad de ChileSantiagoChile

Personalised recommendations