An Early Framework for Determining Artistic Influence

  • Kanako Abe
  • Babak Saleh
  • Ahmed Elgammal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8158)

Abstract

Considering the huge amount of art pieces that exist, there is valuable information to be discovered. Focusing on paintings as one kind of artistic creature that is printed on a surface, artists can determine its genre and the time period that paintings can belong to. In this work we are proposing the interesting problem of automatic influence determination between painters which has not been explored well. We answer the question “Who influenced this artist?” by looking at his masterpieces and comparing them to others. We pose this interesting question as a knowledge discovery problem. We presented a novel dataset of paintings for the interdisciplinary field of computer science and art and showed interesting results for the task of influence finding.

Keywords

Locally Linear Embedding Abstract Artist Painting Style Renaissance Period Artistic Creature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kanako Abe
    • 1
  • Babak Saleh
    • 1
  • Ahmed Elgammal
    • 1
  1. 1.Department of Computer ScienceRutgers UniversityUSA

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