Today partly, extraction, recognition and analysis of visual patterns have been accomplished using machine learning, deep learning, intelligent systems, software computing, information retrieval and statistical analysis in multiple real-life contexts and scenarios. The 2nd International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2020) is intended to be an international forum whose main goal is presenting the advancement of the state-of-the-art, innovative research, ongoing work, academic and project reports in statistics and data mining, as well as applied mathematics, knowledge representation, intelligent systems, information retrieval and software engineering, for visual pattern extraction, analysis and recognition aiming to preserve the cultural heritage. The event was organised as an international research forum by the University of Calabria and the Uppsala University.
Cultural heritage refers to all the tangible and intangible elements of public interest and historical, archaeological, social and artistic relevance. Each cultural heritage element captures stories and traditions of people, families, communities and countries worldwide. It represents a universal asset, to the society is need to remember an assistance, nd itself, and to build the future from the past. Cultural heritage is embedded in multiple aspects of everyday life. Also, it is everywhere, spread in little towns and big cities, in natural scenes and archaeological sites. Tangible elements of the cultural heritage include paintings, sculptures, photographs, lms, coins, manuscripts, monuments, archaeological sites, historical buildings, shipwrecks, underwater ruins and cities, and other di erent items of artistic, archaeological or historical value. Intangible elements promote the preservation of oral traditions and expressions, songs, culinary traditions, ways of life, dialects and sub-dialects, traditional crafts and festivals, culturally signi cant landscapes and biodiversity.
In order to understand the knowledge which is contained in the cultural heritage, the extraction and recognition of visual patterns represents a milestone for modelling, analysing and exploring meaningful characteristics, aspects, trends, and modes in the cultural heritage elements for advancing important hypotheses and revealing useful information. \Visual" is here to be understood in its broader meaning and refers to everything that can be concretely accessed with the human senses.
Today partly, extraction, recognition and analysis of visual patterns have been accomplished using machine learning, deep learning, intelligent systems, software computing, information retrieval and statistical analysis in multiple real-life contexts and scenarios.
The 2nd International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2020) is intended to be an international forum whose main goal is presenting the advancement of the state-of-the-art, innovative research, ongoing work, academic and project reports in statistics and data mining, as well as applied mathematics, knowledge representation, intelligent systems, information retrieval and software engineering, for visual pattern extraction, analysis and recognition aiming to preserve the cultural heritage.
The workshop welcomes contributions from di erent research areas such as Computer Vision, Pattern Recognition, Arti cial Intelligence, Software Engineering, Archaeometry and History. It is also proposed as a stimulating environment for exhibiting, presenting and promoting new technologies, products and services and to show their implementation from a scienti c sight, and their impact under an economical and society perspective in the context of the cultural heritage. 2
The topics of interest of VIPERC 2020 included, but were not limited to: { Neural networks for cultural heritage multimedia data { Machine learning and data mining for cultural heritage classi cation { Discrete geometry techniques for pattern recognition in cultural heritage images { Combinatorial pattern matching and discovery in ancient ndings { Graph-based methods for cultural heritage data { Signal processing in cultural heritage multimedia data { Intelligent systems for art restoration { Augmented and virtual reality systems { 3D reconstruction and model processing { Image processing, texture and shape analysis in historical data { Computer vision for pattern extraction from cultural heritage images { Remote sensing for cultural heritage preservation { Statistical methods for historical language recognition { Digital libraries { Classi cation, similarity and segmentation of cultural heritage images { Deep learning applied to cultural heritage multimedia data { Nature-inspired algorithms for historical multimedia data { Hardware-based solutions for pattern analysis in cultural heritage { Knowledge representation and ontologies for cultural heritage understanding { Historical document processing and classi cation { Speech, audio and music recognition and analysis from historical archives { Archiving and searching methods for cultural heritage multimedia data { Information retrieval in cultural heritage ndings { Discrimination and recognition of ancient languages and dialects { Content-based image retrieval for cultural heritage { Feature extraction from cultural heritage multimedia data { Software packages for cultural heritage understanding { Industrial products, projects, prototypes and artefacts for cultural heritage preservation { Biomedical aspects of cultural heritage 3
VIPERC 2020 was co-located with the 16th Italian Research Conference on Digital Libraries (IRCDL 2020). The workshop was held in the afternoon of 29 January 2020 in Bari, Italy.
The workshop received 12 submissions. Each submission was reviewed by at least 2 scholars of the Scienti c Committee. The reviewers for each paper were selected from di erent institutions than the authors' institutions. Also, the reviewers should not be involved in co-authorship with the paper's authors. Each paper was evaluated according to: (i) clarity, (ii) relevance of the topic, (iii) adopted methodology. The only papers with at least 2 acceptance scores, and any reject score, were de nitively accepted.
In the end, a total number of 6 papers were included in this book of Proceedings: 2 short papers and 4 full papers.
The papers were authored by 12 research scholars from 6 di erent countries and multiple institutions from each country: { Italy, { Bosnia and Herzegovina, { Sweden, { Serbia, { Iraq, { Australia.
Also, VIPERC 2020 hosted a total number of 20 participants.
The scienti c relevance of the workshop is assured by an international Organising Committee which includes 10 research scholars from 3 di erent countries worldwide (Italy, Sweden and Greece), and an international Scienti c Committee which includes 20 research scholars from 8 di erent countries worldwide (Greece, Italy, France, Pakistan, Germany, Spain, Norway, Sweden) and widely recognised as experts in cultural heritage, machine learning, pattern recognition, data analysis, arti cial intelligence and visual computing.
Organising Committee { General Chairs:
Alessia Amelio, Ph.D. research fellow & contract professor, University of Calabria, Italy Gunilla Borgefors, Ph.D. professor emerita, Uppsala University, Sweden Anders Hast, Ph.D. associate professor, Uppsala University, Sweden & IIT-CNR, Italy { Proceedings Chairs:
Paola Castellucci, Ph.D. associate professor, University \La Sapienza", Italy Matilde Fontanin, Ph.D. research fellow, University \La Sapienza" & University of Trieste, Italy { Publicity Chairs:
Katerina Kabassi, Ph.D. associate professor & Dean of the Department of Environment, Ionian University, Greece Tullio Romita, Ph.D. associate professor, University of Calabria, Italy Ester Zumpano, Ph.D. associate professor, University of Calabria, Italy { Local Chairs:
Michelangelo Ceci, Ph.D. associate professor, University of Bari, Italy Stefano Ferilli, Ph.D. associate professor, University of Bari, Italy Scienti c Committee { Nadeem Ahmad, Superior University { Nouman Ali, Mirpur University of Science and Technology { Muhammad Atif, The University of Lahore { Anna Berlino, Consultant in Tourism Sciences and Valorization of Cultural and Tourism Systems { Kalyan Ram Ayyalasomayajula, Heidelberg University { Luciano Caroprese, University of Calabria { Alicia Fornes, Universitat Autonoma de Barcelona { Vassilis Komianos, Ionian University { Riccardo Leone, ISTI-CNR { Andrea Montanaro, IAC-CNR { Phivos Mylonas, Ionian University { Ingela Nystrom, Uppsala University { Konstantinos Oikonomoy, Ionian University { Maria Antonietta Pascali, ISTI-CNR { Vangelis Sakkopoulos, University of Piraeus { Syed Khurram Shahzad, Superior University { Shahab Shamshirband, Norwegian University of Science and Technology { Andrea Vinci, ICAR-CNR { Eugenio Vocaturo, University of Calabria { Gian Piero Zarri, Sorbonne University 5
We would like to thank the Scienti c Committee members, as well as the authors of all submitted papers. A special thank is for professor Stefano Ferilli and all colleagues from IRCDL 2020 Program Committee and University of Bari \A. Moro" for their kind and precious support in all steps of organisation of the workshop.