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Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms, etc. The images returned as the query result are then the ones whose signatures are closest to the signature of the query image. While efficient for simple images, such methods do not work well for complex scenes since these methods fail to retrieve images that match the query only partially, that is, only certain regions of thedoi:10.1145/304181.304217 fatcat:f4mvy5yhgba4biae36wfbr5kwu