An early framework for determining artistic influence

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. © 2013 Springer-Verlag.