Mining images on semantics via statistical learning
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Visual ontology construction for digitized art image retrieval
Journal of Computer Science and Technology
Ontology based object categorisation for robots
AOW '05 Proceedings of the 2005 Australasian Ontology Workshop - Volume 58
Ontology Based Object Categorization for Robots
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Ontology-Based classifier for audio scenes in telemedicine
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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The advent of extremely powerful home PCs and the growth of the Internet have made the appearance of multimedia documents a common sight in the computer world. In the world of unstructured data composed of images and other media types, classification often comes at the price of countless hours of manual labor. This research aims to present a scalable system capable of examining images and accurately classifying the image based on its visual content. When retrieving images based on a user's query, the system will yields a minimal amount of irrelevant information (high precision) and insure a maximum amount of relevant information (high recall).