[DMANET] Call for papers - FAPER2020 workshop at ICPR2020

                   FAPER2020 workshop at ICPR2020

           ---===== Apologies for cross-postings =====---
          Please distribute this call to interested parties
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 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 11, 2021
         >>> https://sites.google.com/view/faper-workshop/ <<<


       P A P E R   S U B M I S S I O N   I S   O P E N !

    * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL *
      SESSION AND FITTING FAPER2020 TOPICS COULD BE SUBMITTED HERE

    -----> https://easychair.org/conferences/?conf=faper2020 <-----


            *** Submission deadline: October 10, 2020 ***
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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.

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


=== Invited Speaker ===

Fabio Remondino (3DOM|FBK, Italy)

Dr. Fabio Remondino is the head of the 3D Optical Metrology
(http://3dom.fbk.eu) research unit at FBK - Bruno Kessler Foundation
(http://www.fbk.eu), a public research center located in Trento, Italy.
His main research interests are in the field of reality-based surveying
and 3D modeling, sensor and data fusion and 3D data classification. He
is working in all automation aspects of the entire 3D reconstruction
pipeline for applications in the industrial, environmental and heritage
field. He is author of more than 200 articles in journals and
conferences. He is involved in knowledge and technology transfer,
organizing more than 30 conferences, 20 summerschools and 5 tutorials.
Fabio is currently serving as President of the ISPRS Technical
Commission II (http://www.isprs.org) and Vice-President of EuroSDR
(http://eurosdr.net). He was vice-President of CIPA Heritage
Documentation (https://www.cipaheritagedocumentation.org/) from 2015 to
2019.


=== 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.


=== FAPER 2020 Special Issue ===

Authors of selected papers will be invited to extend and improve their
contributions in the Special Issue "Fine Art Pattern Extraction and
Recognition" of the Journal of Imaging (MDPI).

- https://www.mdpi.com/journal/jimaging/special_issues/faper2020 -


=== 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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