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  5. Optimization of multi-parameter similarity measure for image search

Optimization of multi-parameter similarity measure for image search

N. Ponomarenko, S. Abramov, V. Lukin, A. Tsaran
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The experiments on obtaining average subjective estimates of image similarity, the procedure of forming the bank of elementary distances between images and weight optimization are described. The effectiveness of the designed similarity measure which is a sum of weighted elementary distances is analyzed.