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https://ceur-ws.org/Vol-2602/xpreface.pdf
VIPERC 2020: Visual Pattern Extraction and
Recognition for Cultural Heritage
Understanding
Alessia Amelio1 , Gunilla Borgefors2 , Anders Hast2
1
University of Calabria, DIMES, 87036 Rende, Italy
2
Uppsala University, Department of Information Technology, Box 337, SE-75105
Uppsala, Sweden
Abstract. Today partly, extraction, recognition and analysis of visual
patterns have been accomplished using machine learning, deep learn-
ing, 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 math-
ematics, knowledge representation, intelligent systems, information re-
trieval 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 Cal-
abria and the Uppsala University.
Keywords: Cultural heritage · Pattern recognition · Machine Learning
· Artificial intelligence · Visual computing.
1 Background and Goals
Cultural heritage refers to all the tangible and intangible elements of public in-
terest and historical, archaeological, social and artistic relevance. Each cultural
heritage element captures stories and traditions of people, families, communi-
ties and countries worldwide. It represents a universal asset, to the society is
need to remember an assistance, find 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 ar-
chaeological sites. Tangible elements of the cultural heritage include paintings,
sculptures, photographs, films, coins, manuscripts, monuments, archaeological
sites, historical buildings, shipwrecks, underwater ruins and cities, and other
different items of artistic, archaeological or historical value. Intangible elements
promote the preservation of oral traditions and expressions, songs, culinary tra-
ditions, ways of life, dialects and sub-dialects, traditional crafts and festivals,
culturally significant landscapes and biodiversity.
In order to understand the knowledge which is contained in the cultural her-
itage, 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 hypothe-
ses 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 Recog-
nition 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 rep-
resentation, 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 different research areas such as
Computer Vision, Pattern Recognition, Artificial Intelligence, Software Engi-
neering, Archaeometry and History. It is also proposed as a stimulating environ-
ment for exhibiting, presenting and promoting new technologies, products and
services and to show their implementation from a scientific sight, and their im-
pact under an economical and society perspective in the context of the cultural
heritage.
2 Topics
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 classification
– Discrete geometry techniques for pattern recognition in cultural heritage
images
– Combinatorial pattern matching and discovery in ancient findings
– 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
– Classification, 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 classification
– Speech, audio and music recognition and analysis from historical archives
– Archiving and searching methods for cultural heritage multimedia data
– Information retrieval in cultural heritage findings
– 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 Outcomes
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 Scientific Committee. The reviewers for each paper
were selected from different 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 definitively accepted.
In the end, a total number of 6 papers were included in this book of Pro-
ceedings: 2 short papers and 4 full papers.
The papers were authored by 12 research scholars from 6 different 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.
4 Committee
The scientific relevance of the workshop is assured by an international Organ-
ising Committee which includes 10 research scholars from 3 different countries
worldwide (Italy, Sweden and Greece), and an international Scientific Committee
which includes 20 research scholars from 8 different countries worldwide (Greece,
Italy, France, Pakistan, Germany, Spain, Norway, Sweden) and widely recognised
as experts in cultural heritage, machine learning, pattern recognition, data anal-
ysis, artificial 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
Scientific 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 Autònoma de Barcelona
– Vassilis Komianos, Ionian University
– Riccardo Leone, ISTI-CNR
– Andrea Montanaro, IAC-CNR
– Phivos Mylonas, Ionian University
– Ingela Nyström, 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 Acknowledgments
We would like to thank the Scientific 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.