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 increasing availability of large digitized fine art collections opens new research
perspectives in the intersection of artificial intelligence and art history. Motivated by the …

Abstract Convolutional Neural Networks (CNNs) require large image corpora to be trained
on classification tasks. The variation in image resolutions, sizes of objects and patterns …

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 …

Due to the digitization of fine art collections, pictures of fine art objects stored at museums
and art galleries became widely available to the public. It created a demand for efficient …

This paper aims to generate a better representation of visual arts, which plays a key role in
visual arts analysis works. Museums and galleries have a large number of artworks in the …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

With the increasing popularity of visual-oriented social media platforms, the prevalence of
visual brand-related User Generated Content (UGC) have increased. Monitoring such …

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 …