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Drd. Ing. Razvan George CONDOROVICI
email: rcondorovici [at] alpha.imag.pub.ro |
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Genre and Artist Recognition for Paintings Collections
Abstract
This paper presents an automatic system for the recognition of artistic genre in digital representations of paintings. This solution comes as part of the recent extensive effort of developing image pro-cessing solutions that facilitate a better understanding of art. As art addresses human perception, the current extracted features are perceptually inspired. While 3D Color Histogram and Gabor Filter Energy have been used for art description, frameworks extracted using anchoring theory are novel in this field. The paper investigates the possible use of 7 classifiers and the resulting performance, as evaluated on a database containing more than 3400 paintings from 6 different genres, outperforms the reported state of the art.
The paper can be downloaded here.
The Matlab implementation can be found here and the images database here (due to copyright restrictions only the images thumbnails are available for download).