Adaptive visual querying of image databases

Eric Y. Tao; Jack Sklansky

doi:10.1117/12.234658

8 March 1996 Adaptive visual querying of image databases

Eric Y. Tao, Jack Sklansky

Proceedings Volume 2656, Visual Data Exploration and Analysis III; (1996) https://doi.org/10.1117/12.234658
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

We describe techniques for adaptive nonverbal visual querying of large databases of images. The technique facilitates (a) visual mapping, a technique visualizing the relationships among the images, revealed by plotting each image as a point in a multidimensional `feature space,' and (b) interactive selection of features to maximize the correspondence between the clusters in feature space and the user's understanding of the relationships among the stored images. We refer to these techniques of querying as Adaptive visual querying. Adaptive visual querying will facilitate browsing and searching image databases from examples of images and from computer-aided sketches.

Citation Download Citation

Eric Y. Tao and Jack Sklansky "Adaptive visual querying of image databases", Proc. SPIE 2656, Visual Data Exploration and Analysis III, (8 March 1996); https://doi.org/10.1117/12.234658

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