Digital-altered photographs are now popular among artists due to advancements in digital technology. Manipulating or gathering pieces of images and combining them into one in computers, artists who produce digital-altered photographs not only deliver impressive technological effects for shock value, but also, and perhaps more importantly, capitalize on the style’s ability to express their parti...

Art historians, artists, psychologists, and neuroscientists have long asserted that artists perceive the world differently than nonartists. Although empirical research on the nature and correlates of skilled drawing is limited, the available evidence supports this view: artists outperform nonartists on visual analysis and form recognition tasks and their perceptual advantages are correlated wit...

We focus on the development of artificial art critics. These systems analyze artworks, extracting relevant features, and produce an evaluation of the perceived pieces. The ability to perform aesthetic judgments is a desirable characteristic in an evolutionary artificial artist. As such, the inclusion of artificial art critics in these systems may improve their artistic abilities. We propose art...

This paper presents the case for extending programming languages to support digital artists engaged in technologically-innovative work. The anticipated result is an “environment for building environments”, which will need to satisfy certain technological requirements according to the areas in which digital artists most need creative support. A review of these areas is undertaken, and a proposal...

We are interested in automatically calculating music similarity based on the visual appearance of artists. By collecting a large set of promotional photographs featuring artists and using a state-of-the-art image annotation system, we show that we can successfully annotate artists with a large set of (genre) tags. This suggests that we can learn some notion of artist similarity based on visual ...

We present a novel approach in categorizing artists into subjective categories such as genre. We base our method on co-occurrences on the web, found with the Google search engine. A direct mapping between artists and categories proved to be unreliable. We use the categories mapped to closely related artists to obtain a more reliable mapping. The method is tested on a genre classification test s...

When artists portray human faces, they generally endow their portraits with properties that render the faces esthetically more pleasing. To obtain insight into the changes introduced by artists, we compared Fourier power spectra in photographs of faces and in portraits by artists. Our analysis was restricted to a large set of monochrome or lightly colored portraits from various Western cultures...