Probabilistic models in information retrieval
The Computer Journal - Special issue on information retrieval
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient User-Adaptable Similarity Search in Large Multimedia Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Introduction to Information Retrieval
Introduction to Information Retrieval
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Content-based information retrieval of multimedia data is a great and attractive challenge which raises numerous research activities. As multimedia data become ubiquitous in our daily lives, information retrieval systems have to adapt their retrieval performance to different situations in order to efficiently satisfy the users' information needs anytime and anywhere. To enhance the content-based multimedia information retrieval process, we propose an efficient similarity measure based on flexible feature representations. We define the similarity model for content-based information retrieval and show its feasibility on real world multimedia data. Furthermore, we briefly discuss future research directions which we plan to investigate.