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ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
The automatic generation of formal annotations in a multimedia indexing and searching environment
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
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IEEE Intelligent Systems
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
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Characterization of 3D shape parts for semantic annotation
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A context-aware middleware for real-time semantic enrichment of distributed multimedia metadata
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SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Evaluating machine learning techniques for automatic image annotations
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
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International Journal of Web Engineering and Technology
Towards semantic multimodal video annotation
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Semantic representation of multimedia content
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A semantic web annotation tool for a web-based audio sequencer
ICWE'11 Proceedings of the 11th international conference on Web engineering
Towards a multimodality ontology image retrieval
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part II
Multiscale annotation of still images with GAT
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
Ontology-Based automatic image annotation exploiting generalized qualitative spatial semantics
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
A mediator-based approach for integrating heterogeneous multimedia sources
Multimedia Tools and Applications
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Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat-Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis, reasoning and retrieval.