Stylistic analysis of paintings usingwavelets and machine learning

Sina Jafarpour,Gungor Polatkan,Eugene Brevdo,Shannon M. Hughes,Andrei Brasoveanu,Ingrid Daubechies

European Signal Processing Conference（2009）

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摘要

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”.

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关键词

art,hidden Markov models,image classification,learning (artificial intelligence),trees (mathematics),Vincent van Gogh paintings,dual tree complex wavelet transform,hidden Markov tree modeling,machine learning,painting stylistic analysis,random forest classifier,wavelet transforms,

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