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23 March 1995 Spatial similarity measures for multimedia applications
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Proceedings Volume 2420, Storage and Retrieval for Image and Video Databases III; (1995)
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Similarity based retrieval of images is an important task in multimedia applications. A major class of users queries require retrieving those images in the database that are spatially similar to the query image. To process these queries, a spatial similarity function is desired. A spatial similarity function assesses the degree to which the spatial relationships in a database image conform to those specified in the query image. In this paper, we formalize the notion of spatial similarity for 2D symbolic images and provide a framework for characterizing the robustness of spatial similarity algorithms with respect to their ability to deal with translation, scale, rotation (both perfect and multiple) variants as well as the variants obtained by an arbitrary composition of translation, scale, and rotation. This characterization in turn is useful for comparing various algorithms for spatial similarity systematically. As an example, a few spatial similarity algorithms are characterized and then experimentally contrasted using a testbed of images.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Venkat N. Gudivada "Spatial similarity measures for multimedia applications", Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995);


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