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In this paper, we present a content-based image retrieval system designed to retrieve mammographies from large medical image database.
Following the algorithm design, a content-based image retrieval system is implemented especially targeting retrieving joint picture expert group compressed images.
Experiments using an interactive image retrieval system.
We present an image retrieval system called "STRICT".
For a region-based image retrieval system, performance depends critically on the accuracy of object segmentation.
Implications for image indexing tools and image retrieval system design are proposed.
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Content-based image retrieval systems are designed to retrieve images based on the high-level desires and needs of users.
Currently, few image retrieval systems have adqeuate solutions for small screen systems.
Accuracy and efficiency are the two important issues in designing content-based image retrieval systems.
The first four seminars deal with the basics of image characterization; the next four presentations describe image retrieval systems.
Efficacy and efficiency are two important issues in designing content-based image retrieval systems.
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