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Towards ontology-based cognitive vision

  • Special issue on ICVS 2003
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Machine Vision and Applications Aims and scope Submit manuscript

Abstract.

This paper details a visual-concept-ontology-driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the visual description of the objects of their domain (e.g., pollen grain). The proposed knowledge acquisition process results in a knowledge base enabling semantic image interpretation. An important benefit of our approach is that the knowledge acquisition process guided by the ontology leads to a knowledge base close to low-level vision. A visual concept ontology and a dedicated knowledge acquisition tool have been developed and are presented. We propose a generic methodology that is not linked to any application domain. An example shows how the knowledge acquisition model can be applied to the description of pollen grain images.

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Authors and Affiliations

  1. INRIA Sophia Antipolis - Orion Team, 2004 Route des lucioles - B.P. 93, 06902, Sophia Antipolis, France

    Nicolas Maillot, Monique Thonnat & Alain Boucher

Authors
  1. Nicolas Maillot
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  2. Monique Thonnat
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  3. Alain Boucher
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Corresponding author

Correspondence to Nicolas Maillot.

Additional information

Published online: 8 June 2004

Correspondence to: Nicolas Maillot

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Maillot, N., Thonnat, M. & Boucher, A. Towards ontology-based cognitive vision. Machine Vision and Applications 16, 33–40 (2004). https://doi.org/10.1007/s00138-004-0142-9

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  • DOI: https://doi.org/10.1007/s00138-004-0142-9

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