Content based image retrieval and information theroy: a general approach
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Informaton theoretic similarity measures for content based image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
A Bayesian Method for Content-Based Image Retrieval by Use of Relevance Feedback
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Adapting indexing trees to data distribution in feature spaces
Computer Vision and Image Understanding
Efficient content-based image retrieval using Multiple Support Vector Machines Ensemble
Expert Systems with Applications: An International Journal
Integrating wavelets with clustering and indexing for effective content-based image retrieval
Knowledge-Based Systems
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The ability to organize and retrieve visual information such as images and video is becoming a crucial problem for specialists and general computer users alike. Because processing visual information requires perceptual abilities not yet known to exist in computational form, the ability to retrieve visual information without human assistance is a rich, complex, and interesting problem. This paper presents the problem from the point of view of real-world system construction, discusses the main feature extraction methods used in modern CBIR systems, and outlines several CBIR system implementations.