WordNet: a lexical database for English
Communications of the ACM
METIS: a flexible foundation for the unified management of multimedia assets
Multimedia Tools and Applications
Automatic hierarchical color image classification
EURASIP Journal on Applied Signal Processing
Semantic representation of multimedia content: Knowledge representation and semantic indexing
Multimedia Tools and Applications
Concept based image retrieval using the domain ontology
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Bootstrapping ontology evolution with multimedia information extraction
Knowledge-driven multimedia information extraction and ontology evolution
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In the demo, we present the IMKA system, which implements the innovative approach of integrating perceptual information such as low-level features and images, and symbolic information such as words to represent the knowlege associated with a large multimedia collection for multimedia organization and retrieval. The IMKA system utilizes the unique MediaNet framework, which greatly extends existing knowlege representation tools in the text domain (e.g., semantic networks and WordNet) and the multimedia domain (e.g. Multimedia Thesaurus) by combining perceptual and semantic concepts in the same network and by supporting perceptual and semantic relationships among concepts exemplified by different media. It also brings the level of multimedia retrieval closer to users' needs by translating low-level feature queries to high-level semantic queries and vice versa. We will demonstrate the process of constructing the MediaNet knowledge base and new ways of searching multimedia in the IMKA system by presenting the current implementation of the IMKA system that uses image collections from online sources.