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State-of-the-Art in Content-Based Image and Video Retrieval pp 213–234Cite as

New Descriptors for Image and Video Indexing

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 22))

Abstract

In this chapter, we present new descriptors that were specifically developed for content-based image and video indexing and retrieval. The first ones are an extension of the descriptors proposed by Florack et al. and Schmid to the case of color images. They are suited for object recognition in still images. The second ones describe the global level of motion activity in an image sequence, and are a good complement to the traditional color and texture descriptors.

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Author information

Authors and Affiliations

  1. IRISA — CNRS, Campus Universitaire de Beaulieu, 35042, Rennes Cedex, France

    Patrick Gros & Ronan Fablet

  2. IRISA — INRIA, Campus Universitaire de Beaulieu, 35042, Rennes Cedex, France

    Patrick Bouthemy

Authors
  1. Patrick Gros
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  2. Ronan Fablet
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  3. Patrick Bouthemy
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Editor information

Editors and Affiliations

  1. Utrecht University, The Netherlands

    Remco C. Veltkamp

  2. University of Freiburg, Germany

    Hans Burkhardt

  3. University of Munich, Germany

    Hans-Peter Kriegel

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© 2001 Springer Science+Business Media Dordrecht

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Gros, P., Fablet, R., Bouthemy, P. (2001). New Descriptors for Image and Video Indexing. In: Veltkamp, R.C., Burkhardt, H., Kriegel, HP. (eds) State-of-the-Art in Content-Based Image and Video Retrieval. Computational Imaging and Vision, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9664-0_10

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  • DOI: https://doi.org/10.1007/978-94-015-9664-0_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5863-8

  • Online ISBN: 978-94-015-9664-0

  • eBook Packages: Springer Book Archive

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