Thursday, February 18, 2021

[DMANET] CFP - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition"


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

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