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Stylistic analysis of paintings using wavelets and machine learning

Publication ,  Journal Article
Jafarpour, S; Polatkan, G; Brevdo, E; Hughes, S; Brasoveanu, A; Daubechies, I
Published in: European Signal Processing Conference
December 1, 2009

Wavelet transforms and machine learning tools can be used to assist art experts in the stylistic analysis of paintings. A dual-tree complex wavelet transform, Hidden Markov Tree modeling and Random Forest classifiers are used here for a stylistic analysis of Vincent van Gogh's paintings with results on two stylometry challenges that concern "dating, resp. extracting distinguishing features". © EURASIP, 2009.

Duke Scholars

Published In

European Signal Processing Conference

ISSN

2219-5491

Publication Date

December 1, 2009

Start / End Page

1220 / 1224
 

Citation

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Jafarpour, S., Polatkan, G., Brevdo, E., Hughes, S., Brasoveanu, A., & Daubechies, I. (2009). Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference, 1220–1224.
Jafarpour, S., G. Polatkan, E. Brevdo, S. Hughes, A. Brasoveanu, and I. Daubechies. “Stylistic analysis of paintings using wavelets and machine learning.” European Signal Processing Conference, December 1, 2009, 1220–24.
Jafarpour S, Polatkan G, Brevdo E, Hughes S, Brasoveanu A, Daubechies I. Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference. 2009 Dec 1;1220–4.
Jafarpour, S., et al. “Stylistic analysis of paintings using wavelets and machine learning.” European Signal Processing Conference, Dec. 2009, pp. 1220–24.
Jafarpour S, Polatkan G, Brevdo E, Hughes S, Brasoveanu A, Daubechies I. Stylistic analysis of paintings using wavelets and machine learning. European Signal Processing Conference. 2009 Dec 1;1220–1224.

Published In

European Signal Processing Conference

ISSN

2219-5491

Publication Date

December 1, 2009

Start / End Page

1220 / 1224