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Abstract 

This paper investigates the performance of eigenpaintings, SURF and a combination of both methods in a query-by- picture system dedicated to artwork images. For this purpose a database containing photographs of 17 artworks was created. These photos were taken by visitors of the exhibition {"}The VUB Art Collection - On Display and in Your Hand{"} using the camera of a mobile phone. The resulting images present several challenging aspects, including reflections, different light conditions, variations in perspective viewing conditions etc. Experiments show that the method based on eigenpaintings classifies 85% of the artworks correctly and the method based on SURF 84%. The combined classifier shows an accuracy of 88%.

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