Topics
Topics of interest include, but are not limited to:
Machine learning and data science for cultural heritage multimedia data
Discrete geometry techniques for pattern recognition in cultural heritage images
Combinatorial pattern matching and discovery in ancient images
Graph-based methods for cultural heritage multimedia data
Signal processing in the cultural heritage
Intelligent systems for art restoration
Augmented and virtual reality systems
3D reconstruction and model processing
3D modelling and simulation of cultural heritage items
Classification or clustering of acoustic data from the cultural heritage
Image processing, texture and shape analysis in historical data
Computer vision for pattern extraction from cultural heritage images
Remote sensing for cultural heritage preservation
Data Mining for historical language recognition
Image similarity and segmentation for the cultural heritage
Deep learning applied to cultural heritage multimedia data
Nature-inspired algorithms for historical multimedia data
Natural Language Processing in the cultural heritage
Knowledge representation and ontologies for ancient multimedia data
Historical document processing and classification
Speech, audio and music recognition and analysis from historical archives
Archiving and searching methods for cultural heritage multimedia data
Information retrieval in cultural heritage multimedia collections
Discrimination and recognition of ancient languages and dialects
Feature selection and extraction from cultural heritage multimedia data
Ensemble methods for visual understanding of cultural heritage
Industrial products, projects, prototypes and artefacts for cultural heritage preservation
Explainable AI for the recognition of ancient multimedia data