Title :
Stylistic analysis of paintings usingwavelets and machine learning
Author :
Jafarpour, Sina ; Polatkan, Gungor ; Brevdo, Eugene ; Hughes, Shannon ; Brasoveanu, Andrei ; Daubechies, Ingrid
Author_Institution :
Depts. of Electr. Eng., Comput. Sci., & Math., Princeton Univ., Princeton, NJ, USA
Abstract :
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”.
Keywords :
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; Abstracts; Image resolution; Radio frequency; Support vector machines;
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
