International Workshop on Fine Art Pattern Extraction and Recognition Call for Papers

________________________________________________________________________

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

        in conjunction with the 21st International Conference on
               Image Analysis and Processing (ICIAP 2021)
                     Lecce, Italy, MAY 23-27, 2022

            >>> https://sites.google.com/view/faper2022 <<<

     !UPDATED! Submission deadline: March 15, 2022 !UPDATED! 

-> Submission link: https://easychair.org/conferences/?conf=faper2022 <-

              [[[ both virtual and in presence event ]]]
________________________________________________________________________


=== 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.

Following the success of the first edition, organized in conjunction
with ICPR 2020, the aim of the workshop is to provide an international
forum for those wishing 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. 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 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 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
- Visual question answering and artwork captioning
- Art history and computer vision


=== Invited speaker ===

Eva Cetinic (Digital Visual Studies, University of Zurich, Switzerland) - "Beyond Similarity: From Stylistic Concepts to Computational Metrics"

Dr. Eva Cetinic is currently working as a postdoctoral fellow at the
Center for Digital Visual Studies at the University of Zurich. She
previously worked as a postdoc in Digital Humanities and Machine
Learning at the Department of Computer Science, Durham University, and
as a postdoctoral researcher and professional associate at the Ruder
Boškovic Institute in Zagreb. She obtained her Ph.D. in Computer
science from the Faculty of Electrical Engineering and Computing,
University of Zagreb in 2019 with the thesis titled "Computational
detection of stylistic properties of paintings based on high-level
image feature analysis". Besides being generally interested in the
interdisciplinary field of digital humanities, her specific interests
focus on studying new research methodologies rooted in the
intersection of artificial intelligence and art history. Particularly,
she is interested in exploring deep learning techniques for
computational image understanding and multi-modal reasoning in the
context of visual art.


=== Workshop modality ===

The workshop will be held in a hybrid form, both virtual and in
presence participation will be allowed.


=== Submission guidelines ===

Accepted manuscripts will be included in the ICIAP 2021 proceedings,
which will be published by Springer as Lecture Notes in Computer
Science series (LNCS). Authors of selected papers will be invited to
extend and improve their contributions for a Special Issue on IET
Image Processing.

Please follow the guidelines provided by Springer when preparing your
contribution. The maximum number of pages is 10 + 2 pages for
references. Each contribution will be reviewed on the basis of
originality, significance, clarity, soundness, relevance and technical
content.

Once accepted, the presence of at least one author at the event and
the oral presentation of the paper are expected.

Please submit your manuscript through EasyChair:
https://easychair.org/conferences/?conf=faper2022


=== Important Dates ===

- Workshop submission deadline: March 15, 2022
- Author notification: April 1, 2022
- Camera-ready submission and registration: April 15, 2022 
- Workshop day: May 23-24, 2022


=== Organizing committee ===

Gennaro Vessio (University of Bari, Italy)
Giovanna Castellano (University of Bari, Italy)
Fabio Bellavia (University of Palermo, Italy)
Sinem Aslan (University of Venice, Italy | Ege University, Turkey)


=== Venue ===

The workshop will be hosted at Convitto Palmieri, which is located in
Piazzetta di Giosue' Carducci, Lecce, Italy