Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
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Artificial Intelligence - Special volume on empirical methods
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HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
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IEEE Transactions on Knowledge and Data Engineering
An Ontology-based Approach to Retrieve Digitized Art Images
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Interoperability Support between MPEG-7/21 and OWL in DS-MIRF
IEEE Transactions on Knowledge and Data Engineering
Video Semantic Content Analysis based on Ontology
IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference
Spatio-temporal query for multimedia databases
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
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IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
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Multimedia Tools and Applications
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Expert Systems with Applications: An International Journal
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IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi, magic closet, tell me what to wear!
Proceedings of the 20th ACM international conference on Multimedia
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Several multimedia applications need to reason with concepts and their media properties in specific domain contexts. Media properties of concepts exhibit some unique characteristics that cannot be dealt with conceptual modeling schemes followed in the existing ontology representation and reasoning schemes. We have proposed a new perceptual modeling technique for reasoning with media properties observed in multimedia instances and the latent concepts. Our knowledge representation scheme uses a causal model of the world where concepts manifest in media properties with uncertainties. We introduce a probabilistic reasoning scheme for belief propagation across domain concepts through observation of media properties. In order to support the perceptual modeling and reasoning paradigm, we propose a new ontology language, Multimedia Web Ontology Language (MOWL). Our primary contribution in this article is to establish the need for the new ontology language and to introduce the semantics of its novel language constructs. We establish the generality of our approach with two disperate knowledge-intensive applications involving reasoning with media properties of concepts.