Blobworld is a system for image retrieval based on finding coherent image regions which roughly correspond to objects. Querying is based on the attributes of one or two regions of interest, rather than a description of the entire image. In order to make large-scale retrieval feasible, we index the blob descriptions using a tree.
Experiments show encouraging results for both querying and indexing.
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