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On the Interest of Spatial Relations and Fuzzy Representations for Ontology-Based Image Interpretation
2006
Advances in Pattern Recognition
In this paper we highlight a few features of the semantic gap problem in image interpretation. We show that semantic image interpretation can be seen as a symbol grounding problem. In this context, ontologies provide a powerful framework to represent domain knowledge, concepts and their relations, and to reason about them. They are likely to be more and more developed for image interpretation. A lot of image interpretation systems rely strongly on descriptions of objects through their
doi:10.1142/9789812772381_0002
fatcat:wrb4fehvhnf77o4mfx3ldm7zfe