Quantification of Artist Representativity within an Art Movement

Knowing the representative artists can help the public better understand the characteristics of an art movement. In this paper, we propose the concept of artist representativity to assess how an artist can represent the characteristics of an art movement. We begin by presenting a novel approach to learn art-movement-related representations of artworks that enable the style and content features of artworks to be expressed. We then propose an artwork-based artist representation method, which considers the importance and quantity imbalance of artworks. Finally, we develop an artist representativity calculating method based on bi-level graph-based learning. Experiments demonstrate the effectiveness of our approach in predicting the artist representativity within an art movement.