Image Understanding and Scene Models: a Generic Framework Integrating Domain Knowledge and Gestalt Theory

Abstract : Because of the semantic gap between low-level descriptors and semantic concepts, image understanding systems need to use domain knowledge in order to map regions of a segmented image into semantic objects. However, such systems are often strongly dependent on an application since domain knowledge is not separated from procedures. We therefore argue for a generic grouping mechanism, based on the vision procedures of Gestalt theory, able to evaluate the relevance of its groupings with domain knowledge. In order to be used in a flexible way, such domain knowledge is stored independently in ontologies. We emphasize the need for domain knowledge to be thought as scene knowledge on a multi-level of composition, in order to be efficiently used. We also present the whole framework of our system and an application example within a specific domain: image understanding of thessalian graves’ images.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01596119
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Submitted on : Wednesday, September 27, 2017 - 11:40:44 AM
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Nicolas Zlatoff, Bruno Tellez, Atilla Baskurt. Image Understanding and Scene Models: a Generic Framework Integrating Domain Knowledge and Gestalt Theory. International Conference on Image Processing, ICIP 2004, Oct 2004, Singapore, Singapore. pp.2355-2358, ⟨10.1109/ICIP.2004.1421573⟩. ⟨hal-01596119⟩

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