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Visual Pattern Extraction and Recognition for Cultural Heritage Understanding
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Visual Pattern Extraction and Recognition for Cultural Heritage Understanding

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

Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 30316

Special Issue Editors

Dr. Alessia Amelio

E-Mail Website
Guest Editor
DIMES Department, University of Calabria, 87036 Rende, CS, Italy
Interests: image analysis; pattern recognition; artificial intelligence; data mining
Special Issues, Collections and Topics in MDPI journals
Prof. Gunilla Borgefors

E-Mail Website
Guest Editor
Uppsala University, Sweden
Interests: image processing; pattern recognition
Prof. Anders Hast

E-Mail Website
Guest Editor
Division of Visual Information and Interaction, Department of Information Technology, Uppsala University, Uppsala, Sweden
Interests: computer vision and image processing, especially for applications in microscopy, aerial photography, face and object recognition and hand written text recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue "Visual Pattern Extraction and Recognition for Cultural Heritage Understanding" 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.

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 submissions that pass pre-check are 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 1600 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 (5 papers)

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13 pages, 403 KiB  
Article
Game-Based Learning in Museums—Cultural Heritage Applications
by Marijana Ćosović and Belma Ramić Brkić
Information 2020, 11(1), 22; https://doi.org/10.3390/info11010022 - 29 Dec 2019
Cited by 32 | Viewed by 12418
Abstract
As traditional museums migrate to the virtual world, they offer wider access to the exhibit collections but often fail to present content of those collections in more engaging way. Game-based learning is one of the solutions to mitigate this inevitable transition and support [...] Read more.
As traditional museums migrate to the virtual world, they offer wider access to the exhibit collections but often fail to present content of those collections in more engaging way. Game-based learning is one of the solutions to mitigate this inevitable transition and support active learning in the process. It is increasingly gaining interest from the cultural heritage scientific community for the purpose of promoting cultural heritage, raising awareness of its importance and motivating users to visit cultural institutions such as museums more often. There are numerous examples of serious games that are based on or contain heritage content. Tangible cultural heritage is more represented in the virtual worlds and mainly based on applications of 3D technology. Recently, intangible cultural heritage is gaining more visibility within cultural heritage scope as a domain in which game-based learning could assist in its preservation. This paper attempts to address pros and cons of game-based learning in general and reflect on the choices of using serious games in the museum environment. Full article
(This article belongs to the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding)
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13 pages, 1617 KiB  
Article
Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection
by Radmila Janković
Information 2020, 11(1), 12; https://doi.org/10.3390/info11010012 - 24 Dec 2019
Cited by 28 | Viewed by 4841
Abstract
Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification usually uses very large sets [...] Read more.
Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification usually uses very large sets of data. This study aims to train and test four classification algorithms: (i) the multilayer perceptron, (ii) averaged one dependence estimators, (iii) forest by penalizing attributes, and (iv) the k-nearest neighbor rough sets and analogy based reasoning, and compares these with the results obtained from the Convolutional Neural Network (CNN). Three types of features were extracted from the images: (i) the edge histogram, (ii) the color layout, and (iii) the JPEG coefficients. The algorithms were tested before and after applying the attribute selection, and the results indicated that the best classification performance was obtained for the multilayer perceptron in both cases. Full article
(This article belongs to the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding)
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11 pages, 1653 KiB  
Article
Adopting Augmented Reality to Engage Higher Education Students in a Museum University Collection: the Experience at Roma Tre University
by Antonella Poce, Francesca Amenduni, Carlo De Medio, Mara Valente and Maria Rosaria Re
Information 2019, 10(12), 373; https://doi.org/10.3390/info10120373 - 28 Nov 2019
Cited by 12 | Viewed by 3686
Abstract
University museums are powerful resource centres in higher education. In this context, the adoption of digital technologies can support personalised learning experience within the university museum. The aim of the present contribution is to present a case study carried out at the Department [...] Read more.
University museums are powerful resource centres in higher education. In this context, the adoption of digital technologies can support personalised learning experience within the university museum. The aim of the present contribution is to present a case study carried out at the Department of Educational Sciences at Roma Tre University with a group of 14 master’s degree students. Students were involved in a 2-h workshop in which they were invited to test augmented reality technology through a web app for Android. At the end of the visit participants were required to fill in a questionnaire with both open-ended and closed-ended questions aimed at investigating their ideas on the exhibition and their critical thinking level. Students appreciated the exhibition, especially its multimodality. Most of the frequent themes identified in open-ended answers are related to critical and visual thinking. Despite the positive overall evaluation, there is still room for improvement, both in terms of technology and educational design. Full article
(This article belongs to the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding)
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11 pages, 231 KiB  
Article
Evaluating Museum Virtual Tours: The Case Study of Italy
by Katerina Kabassi, Alessia Amelio, Vasileios Komianos and Konstantinos Oikonomou
Information 2019, 10(11), 351; https://doi.org/10.3390/info10110351 - 14 Nov 2019
Cited by 33 | Viewed by 5495
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
(This article belongs to the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding)
20 pages, 438 KiB  
Article
Conceptual Encoding and Advanced Management of Leonardo da Vinci’s Mona Lisa: Preliminary Results
by Alessia Amelio and Gian Piero Zarri
Information 2019, 10(10), 321; https://doi.org/10.3390/info10100321 - 17 Oct 2019
Cited by 8 | Viewed by 3062
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
(This article belongs to the Special Issue Visual Pattern Extraction and Recognition for Cultural Heritage Understanding)
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