MDPI Journal of Imaging: Fine Art Pattern Extraction and Recognition Call for Papers


                     Call for Papers - Special Issue
                    of the MDPI Journal of Imaging on

               Fine Art Pattern Extraction and Recognition

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Aim & Scope

Cultural heritage, in particular fine art, has invaluable importance
for the cultural, historic, and economic growth of our societies. Fine
art is developed primarily for aesthetic purposes, and it is mainly
concerned with paintings, sculptures, and architectures. In the last
few years, due to technology improvements and drastically declining
costs, a large-scale digitization effort has been made, leading to a
growing availability of large digitized fine art collections. This
availability, along with the recent advancements in pattern
recognition and computer vision, has opened new opportunities for
computer science researchers to assist the art community with
automatic tools to analyse and further understand fine arts. Among the
other benefits, a deeper understanding of fine arts has the potential
to make them more accessible to a wider population, both in terms of
fruition and creation, thus supporting the spread of culture.

The ability to recognize meaningful patterns in fine art inherently
falls within the domain of human perception, and this perception can
be extremely hard to conceptualize. Thus, visual-related features,
such as those automatically learned by deep learning models, can be
the key to tackling problems of extracting useful representations from
low-level colour and texture features. These representations can
assist in various art-related tasks, ranging from object detection in
paintings to artistic style categorization, useful for examples in
museum and art gallery websites.

This special issue will provide the researchers from diverse areas
such as pattern recognition, computer vision, artificial intelligence,
and image processing, with the opportunity to present advancements in
the state of the art, innovative research, ongoing projects, and
academic and industrial reports on the application of visual pattern
extraction and recognition for the better understanding and fruition
of fine arts.

Topics include, but are not limited to:
- Application of machine learning and deep learning to cultural heritage
- Computer vision and multimedia data
- Generative adversarial networks for artistic data
- Augmented and virtual reality for cultural heritage
- 3D reconstruction of historical artifacts
- Historical document analysis
- Content-based retrieval in the art domain
- Speech, audio, and music analysis from historical archives
- Digitally enriched museum visits
- Smart interactive experiences in cultural sites
- Projects, products, or prototypes for cultural heritage restoration,
preservation, and fruition


Submission Deadline:  28 February 2021

Submit your paper to manuscript submission and peer review site via
the following link:
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The Article Processing Charge (APC) for publication in the MDPI
Journal of Imaging is 1000 CHF (Swiss Francs).



Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain


Guest Editors

Giovanna Castellano, Universita' di Bari, Italy
Gennaro Vessio, Universita' di Bari, Italy
Fabio Bellavia, Universita' di Palermo, Italy