Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge Representation and Control in Computer Vision Systems
IEEE Expert: Intelligent Systems and Their Applications
Towards Computer Vision with Description Logics: Some Recent Progress
SPELMG '99 Proceedings of the Integration of Speech and Image Understanding
Evaluating the application of semantic inferencing rules to image annotation
Proceedings of the 3rd international conference on Knowledge capture
Semantic annotation and retrieval of video events using multimedia ontologies
ICSC '07 Proceedings of the International Conference on Semantic Computing
Multimedia Reasoning with Natural Language Support
ICSC '07 Proceedings of the International Conference on Semantic Computing
Multimedia Reasoning with f-SHIN
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
A framework for handling inconsistency in changing ontologies
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Repairing unsatisfiable concepts in OWL ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Knowledge-assisted semantic video object detection
IEEE Transactions on Circuits and Systems for Video Technology
Learning Midlevel Image Features for Natural Scene and Texture Classification
IEEE Transactions on Circuits and Systems for Video Technology
Combining visual and textual modalities for multimedia ontology matching
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Tractable reasoning with vague knowledge using fuzzy $\mathcal{EL}^{++}$
Journal of Intelligent Information Systems
Multimedia ontology matching by using visual and textual modalities
Multimedia Tools and Applications
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Research in image analysis has reached a point where detectors can be learned in a generic fashion for a significant number of conceptual entities. The obtained performance however exhibits versatile behaviour, reflecting implications over the training set selection, similarities in visual manifestations of distinct conceptual entities, and appearance variations of the conceptual entities. In this paper, we investigate the use of formal semantics in order to benefit from the logical associations between the conceptual entities, and thereby alleviate part of the challenges involved in extracting semantic descriptions. More specifically, a fuzzy DL based reasoning framework is proposed for the extraction of enhanced image descriptions based on an initial set of graded annotations, generated through generic image analysis techniques. Under the proposed reasoning framework, the initial descriptions are integrated and further enriched at a semantic level, while additionally inconsistencies emanating from conflicting descriptions are resolved. Experimentation in the domain of outdoor images has shown very promising results, demonstrating the added value in terms of accuracy and completeness of the resulting content descriptions.