_______ *Special Issue of IET Image Processing on* __________
*ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION*

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Aim & Scope

Cultural heritage, especially fine arts, plays an invaluable role in the
cultural, historical and economic growth of our societies. Fine arts are
primarily developed for aesthetic purposes and are mainly expressed
through painting, sculpture and architecture. In recent years, thanks to
technological improvements and drastic cost reductions, a large-scale
digitization effort has been made, which has led to an increasing
availability of large digitized fine art collections. This availability,
coupled with recent advances in pattern recognition and computer vision,
has disclosed new opportunities, especially for researchers in these
fields, to assist the art community with automatic tools to further
analyze and understand fine arts. Among 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.

This special issue aims to offer 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 a better understanding and fruition of
fine arts, soliciting contributions from pattern recognition, computer
vision, artificial intelligence and image processing research areas. The
special issue will be linked to the 2nd International Workshop on Fine
Art Pattern Extraction and Recognition (FAPER2022). Authors of selected
conference papers will be invited to extend and improve their
contributions for this special issue, and authors are also invited to
submit new contributions (non-conference papers).

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Topics include, but are not limited to:
– Applications of machine learning and deep learning to cultural
heritage and digital humanities
– Computer vision and multimedia data processing for fine arts
– Generative adversarial networks for artistic data
– Augmented and virtual reality for cultural heritage
– 3D reconstruction of historical artifacts
– Point cloud segmentation and classification for cultural heritage
– Historical document analysis
– Content-based retrieval in visual art domain
– Digitally enriched museum visits
– Smart interactive experiences in cultural sites
– Project, products or prototypes for cultural heritage

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*Submission Deadline*: 28 November 2022

Submissions must be made through ScholarOne:
https://mc.manuscriptcentral.com/theiet-ipr

see the PDF call for paper for more information:
https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf

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Open Access

 From January 2021, The IET began an Open Access publishing partnership
with Wiley. As a result, all submissions that are accepted for this
Special Issue will be published under the Gold Open Access Model and
subject to the Article Processing Charge (APC) of $2,300.

APC can be covered in *FULL* or part by your institution!
*CHECK  YOUR  ELIGIBILITY  HERE*
https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html

_______________
Editor-in-Chief

Prof. Farzin Deravi, University of Kent, UK

_____________
Guest Editors

Giovanna Castellano, Universita' di Bari, Italy
Gennaro Vessio, Universita' di Bari, Italy
Fabio Bellavia, Universita' di Palermo, Italy
Sinem Aslan, Università Ca' Forscari Venezia, Italy

> thriving interdisciplinary research culture which is currently looking
> to recruit international researchers under the Marie Sklodowska-Curie
> Postdoctoral Fellowships scheme. Highly motivated researchers of any
> nationality are welcome, including researchers wishing to reintegrate
> in Europe, researchers who are displaced by conflict as well as
> researchers with great potential aiming for a career restart in
> research, eligibility criteria will apply.
>
> The application details (deadline: 31/05/2022 17:00 – Europe/Brussels)
> are at https://euraxess.ec.europa.eu/jobs/767351
>
> We are looking for researchers who can contribute to one or more of
> the following research areas:
> Computer Vision and Deep Learning
> Vision for Autonomous Vehicles
> Multimodal AI for Early Detection and Diagnosis of Cancers
> Quantitative Image Analysis for Digital Pathology
> Human Activity/Behaviour/Emotions Analysis and Understanding
> Human-Robot Social Interaction
>
> You are encouraged to contact me (beheraa@edgehill.ac.uk) to discuss
> your choice of research ideas and topics.
>
> Kind regards,
>
> Dr Ardhendu Behera
> Reader (Associate Professor) in Computer Vision & AI
> Department of Computer Science
> Edge Hill University, Ormskirk, Lancashire, L39 4QP
> https://www.edgehill.ac.uk/computerscience/
> https://computing.edgehill.ac.uk/~abehera/
> T: +44 (0) 1695 65 7270