Abstract
To efficiently answer queries on image databases at run time, content must be mined from the images offline. We describe a technique for locating objects in the library for which we have an exemplar to compare against.We match the images against the exemplar by comparing the local entropies in the images at corresponding positions. This representation is invariant to many imaging phenomena that can cause appearance-based techniques to fail.
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Olson, C.F. (2007). Mining Image Content by Aligning Entropies with an Exemplar. In: Petrushin, V.A., Khan, L. (eds) Multimedia Data Mining and Knowledge Discovery. Springer, London. https://doi.org/10.1007/978-1-84628-799-2_16
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DOI: https://doi.org/10.1007/978-1-84628-799-2_16
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