EMD Analysis for Visual Stylometry

  • Mao D
  • Rockmore D
  • Wang Y
 et al. 
  • 8

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.

Abstract

In this paper we show how the tools of empirical mode decomposition (EMD) analysis can be applied to the problem of “visual stylometry,” generally defined as the development of quantitative tools for the measurement and comparisons of individual style in the visual arts. In particular we introduce a new form of EMD analysis for images and show that it is possible to use its output as the basis for the construction of effective support vector machine-based stylometric classifiers. We present the methodology and then test it on a collection of digital captures of drawings attributed to the great Flemish artist Pieter Bruegel the Elder (1525 – 1569), some of whose attributions are secure and some that are either known or suspected to be imitations. Our positive results indicate that this approach may hold promise generally as a technique for visual stylometry.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

There are no full text links

Authors

  • Dong Mao

  • Daniel N Rockmore

  • Yang Wang

  • Qiang Wu

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free