Pattern Recognition and Artificial Intelligence Techniques for Cultural Heritage Call for Papers
Pattern Recognition Letters Journal (Elsevier)
Special Issue on "Pattern Recognition and Artificial Intelligence Techniques for Cultural Heritage"
Special issue website
Artificial Intelligence is rapidly contaminating new areas of our life
day by day. 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 amount of artifacts and information that
come from the past. The contamination of these two worlds is now a
reality and creates the bounds of the main topics of this Virtual
Special Issue (VSI). Currently, Artificial Intelligence (AI) and
Pattern Recognition (PR) technologies are already employed in the
fields of cultural heritage preservation and exploitation. From these
fields, two main issues arise:
* the information contained in digital representations of physical
objects like scanned documents, scanned artifacts, maps, digital
music, etc. are not easy to exploit and some kind of smart analysis is
* at the same time, the production of digital material such as
augmented reality, Cultural Heritage games, robotics applications,
etc. need innovative techniques and methodologies.
The above issues are leading AI and PR researchers to develop new
methodologies and applications, which are able to analyze the
available data or to generate new ones in a smart way (for augmented
reality, serious games, etc.).
The aim of this special issue is to present recent advances in AI and
PR 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, which span from the
study of the cultural heritage to the development of PR/AI techniques
for cultural heritage analysis, reconstruction and understanding. At
the same time, the VSI is aimed at highlighting the advances on these
topics from a wide-angle perspective, as well as to stimulate new
theoretical and applied research for better characterizing the state
of the art in this subject.
We are interested in original research that addresses the multitude of
issues in handwriting. Topics include, but are not limited to the
* 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
* 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
First submission paper due: June 30, 2019
First review notification: August 10, 2019
Revision submission: September 25, 2019
Second review notification: October 30, 2019
Final notice of acceptance/rejection: November 8, 2019
Paper submissions must conform to the Pattern Recognition Letters format guidelines
Manuscripts can have no more than 7 pages (plus one page after revision) and must be submitted to the online submission system. When submitting their papers through the online system, authors must select the acronym VSI:PRAICH as the article type.
Submissions to the special issue must include new, unpublished, original research. Papers must be original and have not been published or submitted elsewhere.
If the submissions are extended works of previously published papers, the original works should be included and a description of the changes that have been made should be provided.
Guest editors will make an initial determination of the suitability and scope of all submissions.
Special issue website
For enquiries regarding the special issue, send an email to the managing guest editor at:
Francesco Colace, Universitā di Salerno (ITALY)
Francesco Fontanella, Universitā di Cassino e del Lazio meridionale (ITALY)
Mario Molinara, Universitā di Cassino e del Lazio meridionale (ITALY)
Alessandra Scotto di Freca, Universitā di Cassino e del Lazio meridionale (ITALY)
Filippo Stanco, Universitā di Catania (ITALY)