Pattern Recognition for
Cultural
Heritage

The huge number of artifacts and information that come from the past is increasingly and rapidly being digitized. However, the useful information contained in these data is not easy to exploit and analysis is needed. On the other hand, the digital representations of real objects require for manipulation. In recent years machine learning and pattern recognition algorithms are giving the opportunity to analyze and manipulate the acquired data in order to better exploit the contained information, generate the best digital representation, provide automatic or semi-automatic tools for support archaeologist and researcher in the field. The aim of this workshop is to present recent advances in Pattern Recognition (PR) techniques for data analysis and representation in the cultural heritage field. Bringing together the work of many experts in this multidisciplinary subject to highlight these advances 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.

(Edition 2019)

• 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

Revise Accepted papers will be included in the ICPR 2020 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science Series (LNCS).
Authors of selected high-quality papers will be invited to submit extended versions for a Special Issue on a journal of quantile Q1: we are negotiating with major international journals.
For more details, see the submission page.