=== 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- Historical document analysis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 Ruđer 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
____________________________________________________

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

Workshop: https://sites.google.com/view/faper2022
ICIAP2021: https://www.iciap2021.org/