[visionlist] DEADLINE IS APPROACHING! - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition"

Fabio Bellavia fabio.bellavia at unifi.it
Sun Oct 23 14:00:29 -04 2022


apologies for multiple posting, please distribute among interested parties
_________________
*Call for Papers*

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


!!! *DEADLINE IS APPROACHING* !!!
________28 November 2022_________


___________
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).

_______________________________________
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

_______________________________________
*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

___________
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, i.e. FREE OF CHARGE*, 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





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