VIPERC2022: 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Virtual mode Pescara, Italy, September 12-13, 2022 |
Conference website | https://sites.google.com/view/viperc-2022/home |
Submission link | https://easychair.org/conferences/?conf=viperc2022 |
Submission deadline | May 31, 2022 |
1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2022)
a joint event of the 19th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA), 12-13 September 2022.
Background:
Cultural heritage is related to all the tangible and intangible aspects of historical, archaeological, architectural and artistic relevance. Each item of cultural heritage tells legends and traditions of people, families, communities and countries worldwide. Cultural heritage is a precious return to the society to find its origin and build the future from the past. It is a relevant part of everyday life, visible everywhere, from ruins of ancient places to modern natural scenes and art.
Tangible items of the cultural heritage include ancient buildings, archaeological sites, monuments, sculptures, paintings, coins, underwater ruins and cities, shipwrecks, manuscripts, photographs, films and other elements of artistic, archaeological, architectural and historical value. Intangible items can collect the acoustic heritage of ancient buildings, traditional crafts and festivals, oral traditions and expressions, dialects and sub-dialects, music, culinary traditions and ways of life.
The process of knowledge discovery and representation from the cultural heritage mainly consists of the extraction, recognition and modelling of visual patterns, which become of prior importance for the analysis and exploration of hidden features, new hypotheses, relationships, trends, and modes from the data of cultural heritage. A visual pattern refers to any characteristic which can be captured by the human senses.
Today partly, the extraction, recognition and modelling of visual patterns have been accomplished using simulation models, artificial intelligence, software computing, information retrieval and statistical analysis in multiple real-life contexts and scenarios.
Goals:
The 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding aims to be a premier forum for presenting the state-of-the-art, new research, ongoing work, academic and project reports in advanced statistics and machine learning, 3D modelling and simulation, knowledge representation, intelligent systems, information retrieval and software engineering, for visual pattern extraction, analysis and recognition to preserve the cultural heritage.
VIPERC 2022 conference welcomes contributions from different research areas such as Image Processing, Artificial Intelligence, Software Engineering, Data Mining and Knowledge Discovery, Modelling and Simulation. It is also proposed as a stimulating environment for Industrial partners that want to exhibit, describe and promote innovation in products and services and to show their features from a scientific and technological sight, and their impact under an economical and society view in the field of cultural heritage.
Topics of interest include, but are not limited to:
- Machine learning and data science for cultural heritage multimedia data
- Discrete geometry techniques for pattern recognition in cultural heritage images
- Combinatorial pattern matching and discovery in ancient images
- Graph-based methods for cultural heritage multimedia data
- Signal processing in the cultural heritage
- Intelligent systems for art restoration
- Augmented and virtual reality systems
- 3D reconstruction and model processing
- 3D modelling and simulation of cultural heritage items
- Classification or clustering of acoustic data from the cultural heritage
- Image processing, texture and shape analysis in historical data
- Computer vision for pattern extraction from cultural heritage images
- Remote sensing for cultural heritage preservation
- Data Mining for historical language recognition
- Image similarity and segmentation for the cultural heritage
- Deep learning applied to cultural heritage multimedia data
- Nature-inspired algorithms for historical multimedia data
- Natural Language Processing in the cultural heritage
- Knowledge representation and ontologies for ancient multimedia data
- 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 multimedia collections
- Discrimination and recognition of ancient languages and dialects
- Feature selection and extraction from cultural heritage multimedia data
- Ensemble methods for visual understanding of cultural heritage
- Industrial products, projects, prototypes and artefacts for cultural heritage preservation
- Explainable AI for the recognition of ancient multimedia data
Organizing Committee
General Chairs:
- Alessia Amelio, InGeo, University “G. d’Annunzio” Chieti-Pescara
- Sergio Montelpare, InGeo, University “G. d’Annunzio” Chieti-Pescara
- Domenico Ursino, DII, Marche Polytechnic University
Publications Chairs:
- Gianluca Bonifazi, DII, Marche Polytechnic University
- Giuseppe Brando, InGeo, University “G. d’Annunzio” Chieti-Pescara
- Guido Camata, InGeo, University “G. d’Annunzio” Chieti-Pescara
- Francesco Cauteruccio, DEMACS, University of Calabria
- Camilla Lops, InGeo, University “G. d’Annunzio” Chieti-Pescara
- Luca Virgili, DII, Marche Polytechnic University
Publicity Chairs:
- Enrico Corradini, DII, Marche Polytechnic University
- Michele Marchetti, DII, Marche Polytechnic University
- Alessandro Ricciutelli, InGeo, University “G. d’Annunzio” Chieti-Pescara
Local Chair:
- Gennady Agre, Institute of Information and Communication Technologies
International Relations Chairs:
- Nouman Ali, Mirpur University of Science & Technology, Pakistan
- Marijana Cosović, University of East Sarajevo, Bosnia and Herzegovina
- Anders Hast, Uppsala University, Sweden
- Radmila Janković Babić, Mathematical Institute of S.A.S.A., Serbia
- Katerina Kabassi, Ionian University, Greece
- Carlos Mello, Federal University of Pernambuco, Brazil
Important Dates:
Submission Deadline: May 31, 2022
Acceptance Notification: Aug 20, 2022
Camera-Ready and Registration Deadline: Sept 10, 2022
Conference: Sept 12-13, 2022 (virtual mode)
Submission Instructions:
All submissions must be written in English following Springer LNCS author guidelines and have to be submitted as PDF files to EasyChair, with maximum paper length of 12 pages. All submissions will be reviewed by at least two independent reviewers.
All the accepted papers will be published in the conference proceedings after being presented at the conference. The proceedings book will be submitted to be published by CEUR-WS, that is open access and indexed by SCOPUS and DBLP.
Registration and attendance to the conference are mandatory for inclusion of the paper in the proceedings book.
Submission Link:
https://easychair.org/conferences/?conf=viperc2022
For further information, please refer to the VIPERC 2022 website