Mining Image Content by Aligning Entropies with an Exemplar
Multimedia Data Mining and Knowledge Discovery(2007)
摘要
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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