Compressed domain image retrieval: a comparative study of similarity metrics

Content based image retrieval has gained considerable attention in nowadays as a very useful tool in a plethora of applications. Web has become the most important application, because over 70% of it is devoted to images, and looking for a specific image is a really daunting task. The vast majority of these images are JPEG compressed. An extensive study of eighteen similarity measures used for image retrieval has been conducted and the corresponding results are reported in the present communication. The energy histograms of the low frequency DCT coefficients have been used as the feature space for similarity testing. Query-by-image-example was used in all tests.

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