Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …

In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

This paper provides an overview of some of the most relevant deep learning approaches to
pattern extraction and recognition in visual arts, particularly painting and drawing. Recent …

The growing availability of large collections of digitized artworks has disclosed new
opportunities to develop intelligent systems for the automatic analysis of fine arts. Among …

Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …

Cultural heritage data plays a key role in the understanding of past human history and
culture, enriches the present and prepares the future. A wealth of information is buried in …

To automatically generate accurate and meaningful textual descriptions of images is an
ongoing research challenge. Recently, a lot of progress has been made by adopting …

Map label placement is an important task in map production, which needs to be automated
since it is tedious and requires a significant amount of manual work. In this paper, we identify …

Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …

Understanding the historical transformation of artistic styles implies the recognition of
different stylistic properties. From a computer vision perspective, stylistic properties …