Aesthetic impact of solar energy systems

N Sánchez-Pantoja, R Vidal, MC Pastor - Renewable and Sustainable …, 2018 - Elsevier
The presence of solar energy systems has increased significantly in recent years both in
rural areas–in the form of solar farms–, and in urban areas as part of building installations …

A comprehensive survey on object detection in Visual Art: taxonomy and challenge

S Bengamra, O Mzoughi, A Bigand… - Multimedia Tools and …, 2024 - Springer
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 …

Fine-tuning convolutional neural networks for fine art classification

E Cetinic, T Lipic, S Grgic - Expert Systems with Applications, 2018 - Elsevier
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 …

A dataset and a convolutional model for iconography classification in paintings

F Milani, P Fraternali - Journal on Computing and Cultural Heritage …, 2021 - dl.acm.org
Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …

A deep learning perspective on beauty, sentiment, and remembrance of art

E Cetinic, T Lipic, S Grgic - IEEE access, 2019 - ieeexplore.ieee.org
With the emergence of large digitized fine art collections and the successful performance of
deep learning techniques, new research prospects unfold in the intersection of artificial …

Detecting visual design principles in art and architecture through deep convolutional neural networks

G Demir, A Çekmiş, VB Yeşilkaynak, G Unal - Automation in Construction, 2021 - Elsevier
Visual design is associated with the use of some basic design elements and principles.
Those are applied by the designers in the various disciplines for aesthetic purposes, relying …

Global image properties predict ratings of affective pictures

C Redies, M Grebenkina, M Mohseni… - Frontiers in …, 2020 - frontiersin.org
Affective pictures are widely used in studies of human emotions. The objects or scenes
shown in affective pictures play a pivotal role in eliciting particular emotions. However …

[PDF][PDF] The fractality of sentiment arcs for literary quality assessment: The case of Nobel laureates

Y Bizzoni, P Moreira, MR Thomsen… - Journal of Data …, 2023 - jdmdh.episciences.org
In the few works that have used NLP to study literary quality, sentiment and emotion analysis
have often been considered valuable sources of information. At the same time, the idea that …

Processing bias: extending sensory drive to include efficacy and efficiency in information processing

JP Renoult, TC Mendelson - Proceedings of the Royal …, 2019 - royalsocietypublishing.org
Communication signals often comprise an array of colours, lines, spots, notes or odours that
are arranged in complex patterns, melodies or blends. Receiver perception is assumed to …

Approximate entropy in canonical and non-canonical fiction

M Mohseni, C Redies, V Gast - Entropy, 2022 - mdpi.com
Computational textual aesthetics aims at studying observable differences between aesthetic
categories of text. We use Approximate Entropy to measure the (un) predictability in two …