RELIEF: combining expressiveness and rapidity into a single system
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
EMIR2: An Extended Model for Image Representation and Retrieval
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
Improving image retrieval by using spatial relations
Multimedia Tools and Applications
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This poster presents an approach for integrating perceptual signal features (i.e. color and texture) and semantic information within an integrated architecture for image retrieval. It relies on an expressive knowledge representation formalism handling high-level image descriptions and a full-text query framework. It consequently brings the level of image retrieval closer to users' needs by translating low-level signal features to high-level data and coupling it with semantics within index and query structures.