We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Since at least 1935, vision researchers have used art stimuli to test human response to
complex scenes. This is sensible given the “inherent interestingness” of art and its relation to …

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 …

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 …

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 …

A computerized annotation method achieves real-time operation and better optimization
properties while preserving the architectural advantages of the generative modeling …

A survey of the literature reveals that image processing tools aimed at supplementing the art
historian's toolbox are currently in the earliest stages of development. To jump-start 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 …

Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL
TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL …

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 …