• DocumentCode
    2154573
  • Title

    Uncovering elements of style

  • Author

    Wolff, Josephine ; Martens, Maximiliaan ; Jafarpour, Sina ; Daubechies, Ingrid ; Calderbank, Robert

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1017
  • Lastpage
    1020
  • Abstract
    This paper relates the style of 16th century Flemish paintings by Goossen van der Weyden (GvdW) to the style of preliminary sketches or underpaintings made prior to executing the painting. Van der Weyden made underpaintings in markedly different styles for reasons as yet not understood by art historians. The analysis presented here starts from a classification of the underpaintings into four distinct styles by experts in art history. Analysis of the painted surfaces by a combination of wavelet analysis, hidden Markov trees and boosting algorithms can distinguish the four underpainting styles with greater than 90% cross-validation accuracy. On a subsequent blind test this classifier provided insight into the hypothesis by art historians that different patches of the finished painting were executed by different hands.
  • Keywords
    art; hidden Markov models; history; image classification; psychology; trees (mathematics); wavelet transforms; 16th century Flemish painting style; art historian; boosting algorithm; finished painting; hidden Markov trees; image analysis; preliminary sketch style; underpainting classification; underpainting style; wavelet analysis; Accuracy; Art; Hidden Markov models; Painting; Wavelet analysis; Wavelet transforms; Artwork Classification; Hidden Markov Trees; Image Analysis; Machine Learning; Wavelet Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946579
  • Filename
    5946579