VIPERC 2022 : 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Virtual mode
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Event Date: | September 12, 2022 - September 13, 2022 |
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Submission Deadline: | May 31, 2022 |
Notification of Acceptance: | August 20, 2022 |
Camera Ready Version Due: | September 10, 2022 |
Call for Papers |
Please consider to send your contribution to:
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 (virtual mode). Homepage: https://sites.google.com/view/viperc-2022/home 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 to be discussed (but 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 Organising 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 Enrico Spacone, 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 For more information: [email protected] We are waiting for your contribution! |
Summary |
VIPERC 2022 : 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding will take place in Virtual mode. It’s a 2 days event starting on Sep 12, 2022 (Monday) and will be winded up on Sep 13, 2022 (Tuesday). VIPERC 2022 falls under the following areas: PATTERN RECOGNITION, CULTURAL HERITAGE, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Conference can be made by May 31, 2022. Authors can expect the result of submission by Aug 20, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Sep 10, 2022 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the VIPERC 2022
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Credits and Sources |
[1] VIPERC 2022 : 1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding |