logo2nd International Workshop on Visual Pattern Extraction and
Recognition for Cultural Heritage Understanding (VIPERC 2020)

co-located with 16th Italian Research Conference On Digital Libraries
(IRCDL), 29 January 2020, Bari, Italy

Background and goals:

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, 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 archaeological 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 traditions, 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 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.

This workshop 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 different research areas such as Computer Vision, Pattern Recognition, Artificial 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 scientific sight, and their impact under an economical and society perspective in the context of the cultural heritage.

Topics of interest include, but are 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


General Chairs:

  • Alessia Amelio, University of Calabria
  • Gunilla Borgefors, Uppsala University
  • Anders Hast, Uppsala University & IIT-CNR

Proceedings Chairs:

  • Paola Castellucci, University “La Sapienza” – Rome
  • Matilde Fontanin, University “La Sapienza” – Rome & University of Trieste

Publicity Chairs:

  • Katerina Kabassi, Ionian University
  • Tullio Romita, University of Calabria
  • Ester Zumpano, University of Calabria

Local Chairs:

  • Michelangelo Ceci, University of Bari
  • Stefano Ferilli, University of Bari

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

Important Dates:

Workshop: Jan 29, 2020 (afternoon)

Submission: Oct 20, 2019 > Nov 15, 2019

Camera-ready and registration: Dec 30, 2019


Accepted papers from VIPERC 2020 will be published in the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2020) of the journal Information MDPI (ISSN 2078-2489), indexed by Ei Compendex, SCOPUS (Elsevier), Emerging Sources Citation Index (ESCI – Web of Science) and other databases. All submitted papers will undergo a standard peer-review procedure. Each paper is required to have a minimum of 12 pages formatted according to the Microsoft Word template or LaTeX template of Information. Accepted papers will be published in open access format in Information FREE OF CHARGE for the authors and collected together on the Special Issue website.

All accepted papers will be published in the Special Issue after being presented in the workshop.

Registration to the workshop and attendance to the event are mandatory for the inclusion of the paper in the Special Issue.

Submission link: