A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
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Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
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MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
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Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
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IEEE MultiMedia
Ontology-Based Photo Annotation
IEEE Intelligent Systems
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Fuzzy aesthetic semantics description and extraction for art image retrieval
Computers & Mathematics with Applications
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MOWL: An ontology representation language for web-based multimedia applications
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Although much progress has been made, current low-level based visual information retrieval technology does not allow users to formulate queries through high-level semantics. More and more digitized art images appear on the Internet, and techniques need to be established on how to organize and retrieve them. In this work, a framework for retrieving art images using an ontology-based method is introduced. The proposed ontology describes images in various aspects. Non-objectionable semantics are first introduced, and how to express these semantics is given. Concepts in the ontology could be automatically derived. The retrieval scheme makes users more naturally find visual information and experimental implementation demonstrates good potential on retrieving art images in a human-centered manner.