Special Issue "Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2020)"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 November 2019.

Special Issue Editors

Dr. Alessia Amelio
E-Mail Website
Guest Editor
DIMES University of Calabria, via Pietro Bucci, 87036 Rende (CS), Italy
Interests: image analysis; pattern recognition; artificial intelligence; data mining
Prof. Gunilla Borgefors
E-Mail Website
Guest Editor
Uppsala University, Sweden
Interests: image processing; pattern recognition
Prof. Anders Hast
E-Mail Website
Guest Editor
Uppsala University, Sweden & IIT-CNR, Italy
Interests: computer graphics; text recognition; image processing

Special Issue Information

Dear Colleagues,

The 2nd International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2020) 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 point of view and their impact under an economical and society perspective in the context of the cultural heritage.

Accepted papers from VIPERC 2020 will be published in this Special Issue of the journal Information. All submitted papers will undergo our 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 this Special Issue website.

Dr. Alessia Amelio
Prof. Gunilla Borgefors
Prof. Anders Hast
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

Open AccessArticle
Evaluating Museum Virtual Tours: The Case Study of Italy
Information 2019, 10(11), 351; https://doi.org/10.3390/info10110351 - 14 Nov 2019
Abstract
Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe [...] Read more.
Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums. Full article
Open AccessArticle
Conceptual Encoding and Advanced Management of Leonardo da Vinci’s Mona Lisa: Preliminary Results
Information 2019, 10(10), 321; https://doi.org/10.3390/info10100321 - 17 Oct 2019
Abstract
This paper describes a preliminary experiment concerning the use of advanced Artificial Intelligence/Knowledge Representation techniques to improve the present formalization/digitization procedures of Cultural Heritage assets—with reference, in particular, to all types of Cultural Heritage “iconographic” entities. In this context, in agreement with the [...] Read more.
This paper describes a preliminary experiment concerning the use of advanced Artificial Intelligence/Knowledge Representation techniques to improve the present formalization/digitization procedures of Cultural Heritage assets—with reference, in particular, to all types of Cultural Heritage “iconographic” entities. In this context, in agreement with the recent proposal to characterize the digital description of Cultural Heritage items making use of the notion of “Cultural Heritage Digital Twin”, we are mainly concerned with the possibility to consider not only the external, “physical”, aspects of these iconographic items but also the “message” they convey in a more or less explicit way. For our experiment, some aspects of the Mona Lisa painting by Leonardo da Vinci have been formalized, along with their context, making use of NKRL, the “Narrative Knowledge Representation Language”. NKRL is, in reality, both a Knowledge Representation language and a full Computer Science environment, used to represent/manage in an advanced way “narrative” (in the widest meaning of this word) information. The initial results of the experiment are described in the paper, along with some thoughts about their possible interest and developments. Full article
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