Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

In the past few years, a number of scholars trained in computer vision, pattern recognition,
image processing, computer graphics, and art history have developed rigorous computer …

In the past few years, the number of fine-art collections that are digitized and publicly
available has been growing rapidly. With the availability of such large collections of digitized …

Modeling data with linear combinations of a few elements from a learned dictionary has
been the focus of much recent research in machine learning, neuroscience, and signal …

In this tutorial, we define and discuss key aspects of the problem of computational inference
of aesthetics and emotion from images. We begin with a background discussion on …

“Ceci n'est pas une pipe” French for “This is not a pipe”. This is the description painted on
the first painting in the figure above. But to most of us, how could this painting is not a pipe …

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 …

This paper aims to evaluate the aesthetic visual quality of a special type of visual media:
digital images of paintings. Assessing the aesthetic visual quality of paintings can be …

Paintings, frescoes, antique photographic prints, incunabula, old books, handwritten
documents, sculptures, ceramic fragments, and other ancient manufacts constitute the …

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 …