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 …

In this paper, we report on the creation of a publicly available, common evaluation
framework for image and video visual interestingness prediction. We propose a robust data …

Humans' perception of visual complexity is often regarded as one of the key principles of
aesthetic order, and is intimately related to the physiological, neurological and, possibly …

Automatic prediction of the aesthetic value of images has received increasing attention in
recent years. This is due, on the one hand, to the potential impact that predicting the …

The previously known works studying the learning performance of multi-classification
algorithm are usually based on supervised samples, but large amount of data generated in …

Modern production systems are composed of complex manufacturing processes with highly
technology specific cause-effect relationships. Developments in sensor technology and …

Providing the visual complexity of an image in terms of impact or aesthetic preference can
be of great applicability in areas such as psychology or marketing. To this end, certain areas …

In this article, a minimum neural network topology in terms of units and connections
(neurons and weights), making visual aesthetically categorized images, will be identified …

We previously generated diverse mathematical functions that are difficult for optimization
algorithms. Represented as 2D contour plots, each image depicts a 'blue river'running …

At present, the majority of sports games video adopts MPEG image technology, and MPEG
video compression is the current more mainstream approach. After compression, the quality …