[DMANET] CFP update due to COVID-19 - FAPER2020 workshop at ICPR2020 - submission postponed to October 10th, 2020

                    FAPER2020 workshop at ICPR2020
         *** UPDATES in relation to COVID-19 (Coronavirus) ***


      /// SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 \\\


            ---===== Apologies for cross-postings =====---
           Please distribute this call to interested parties
_______________________________________________________________________

 International Workshop on Fine Art Pattern Extraction and Recognition
                          F A P E R   2 0 2 0

                    workshop in conjunction with the
    25th International Conference on Pattern Recognition (ICPR2020)
                   Milan, Italy, January 10-15, 2021

         >>> https://sites.google.com/view/faper-workshop/ <<<

             *** Submission deadline: October 15, 2020 ***

- Submission link: https://easychair.org/conferences/?conf=faper2020 -
_______________________________________________________________________


=== UPDATES in relation to COVID-19 (Coronavirus) ===

Given the COVID-19 situation in Italy and all over the globe, the ICPR
2020 Chairs have decided to shift the Conference schedule, including
FAPER2020, to the beginning of January 2021.

FAPER2020 submission deadline has been postponed as well to October
10th, 2020.


=== 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.

The aim of the workshop is to provide an international forum for those
who wish 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. The workshop solicits
contributions from diverse areas such as pattern recognition, computer
vision, artificial intelligence and image processing.


=== Topics ===

Topics of interest 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


=== Important Dates ===

-  October  10th, 2020 - workshop submission deadline
-  November 10th, 2020 - author notification
-  November 15th, 2020 - camera-ready submission
-  December  1st, 2020 - finalized workshop program


=== Submission guidelines ===

Submissions must be formatted in accordance with the Springer's Computer
Science Proceedings guidelines. The following paper categories are welcome:
- Full papers (12-15 pages, including references)
- Short papers  (6-8 pages, including references)

Accepted manuscripts will be included in the ICPR 2020 Workshop
Proceedings Springer volume. Once accepted, at least one author is
expected to attend the event and orally present the paper. Authors of
selected papers will be invited to extend and improve their
contributions for a Special Issue of the Journal of Imaging (MDPI).


=== Organizing committee ===

Gennaro Vessio (University of Bari, Italy)
Giovanna Castellano (University of Bari, Italy)
Fabio Bellavia (University of Palermo, Italy)


=== Venue ===

The workshop will be hosted at Milan Congress Center (Mi.Co.), which is
located in Piazzale Carlo Magno 1, Milan, Italy.

_______________________________________________________________________

 Contacts: gennaro.vessio@uniba.it
           giovanna.castellano@uniba.it
           fabio.bellavia@unipa.it

 Workshop: https://sites.google.com/view/faper-workshop/
 ICPR2020: https://www.micc.unifi.it/icpr2020/



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