Special Issue "Pattern Recognition Systems for Cultural Heritage"
Deadline for manuscript submissions: 20 December 2022 | Viewed by 206
Interests: digital restoration; cultural heritage; zooming; super-resolution; artifacts removal; interpolation; texture; GIS
Interests: machine learning; computer vision; pattern recognition; image processing; cultural heritage
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; pattern recognition; IoT; image understanding; biomedical imaging; sensors
Pattern recognition and artificial intelligence are rapidly infiltrating new areas of our lives. On the other hand, the management of cultural heritage is increasingly in need of new solutions to document, manage and visit (even virtually) the enormous number of artifacts and information that come from the past. The meeting of these two worlds is now a reality, and represents the scope of the main topics of this Special Issue.
Pattern recognition (PR) technologies are already employed in cultural heritage preservation and exploitation. From these fields, two main issues arise:
- The information contained in digital representations of physical objects (scanned documents, scanned artifacts, maps, digital music, etc.) is not easy to exploit, and advanced pattern recognition analysis is required.
- The production of digital material such as augmented reality, cultural heritage games, robotics applications, etc. requires innovative techniques and methodologies.
The aim of this Special Issue is to present recent advances in PR and AI for data analysis and representation in cultural heritage, bringing together the works of many experts in this multidisciplinary subject that involves different skills and knowledge, spanning from the study of cultural heritage to the development of PR/AI techniques for cultural heritage analysis, reconstruction and understanding. At the same time, the Special Issue aims to highlight the advances on these topics from a broad perspective, and to stimulate new theoretical and applied research for better characterizing the state of the art in this subject.
The Special Issue will follow the 3nd International Workshop Pattern Recognition for Cultural Heritage (PatReCH 2022 - http://aida.unicas.it/patrech2022/), which will take place in conjunction with the 26th International Conference on Pattern Recognition (ICPR 2022 - https://www.icpr2022.com/), to be held 21–25 August 2022 in Montréal Québec, Canada, but submissions will be not restricted to workshop contributors.
Dr. Filippo Stanco
Dr. Dario Allegra
Dr. Mario Molinara
Dr. Alessandra Scotto di Freca
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. Journal of Imaging 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.
- machine learning applications for cultural heritage
- ancient document analysis
- digital artifact capture, representation and manipulation
- automatic annotation of tangible and intangible heritage
- interactive software tools for cultural heritage applications
- multimedia music classification and reconstruction
- augmented and virtual reality applications
- image processing, classification, and retrieval
- semantic segmentation
- object and artifacts detection
- serious game for cultural heritage
- robotic applications
- ontology learning for cultural heritage domain
- knowledge representations and reasoning
- techniques for exploring and interacting with repositories of digital artifacts