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

[Fabio Bellavia]

                     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 at uniba.it
            giovanna.castellano at uniba.it
            fabio.bellavia at unipa.it

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