Multimedia knowledge management using ontologies
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
Using Fuzzy DLs to Enhance Semantic Image Analysis
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Reasoning with the Fuzzy Description Logic f-$\mathcal{SHIN}$: Theory, Practice and Applications
Uncertainty Reasoning for the Semantic Web I
Investigating fuzzy DLs-based reasoning in semantic image analysis
Multimedia Tools and Applications
Semantic representation of multimedia content
Knowledge-driven multimedia information extraction and ontology evolution
Trends and issues in description logics frameworks for image interpretation
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Autonomous object manipulation: a semantic-driven approach
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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Effective management and exploitation of multimedia documents requires extraction of the underlying semantics. Multimedia analysis algorithms can produce fairly rich but imprecise information about a multimedia document. In this paper, a multimedia reasoning architecture is presented using the fuzzy extension of expressive SHIN , f-SHIN . First a segmentation algorithm generates a set of over- segmented regions and a classification process is employed to assign those regions with semantic labels. A semantic- based refinement of the segmentation is follows and this in- formation initializes the ABox of a fuzzy-knowledge that is used for multimedia reasoning. The proposed approach was tested on outdoor domain and shows promising results.