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NIPS
1997

Structure Driven Image Database Retrieval

10 years 5 months ago
Structure Driven Image Database Retrieval
A new algorithm is presented which approximates the perceived visual similarity between images. The images are initially transformed into a feature space which captures visual structure, texture and color using a tree of filters. Similarity is the inverse of the distance in this perceptual feature space. Using this algorithm we have constructed an image database system which can perform example based retrieval on large image databases. Using carefully constructed target sets, which limit variation to only a single visual characteristic, retrieval rates are quantitatively compared to those of standard methods. Accepted Advanced in Neural Information Processing 10 (1997).
Jeremy S. De Bonet, Paul A. Viola
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where NIPS
Authors Jeremy S. De Bonet, Paul A. Viola
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