Objective
TEXTaiLES goal is to redefine the digitization of Cultural Heritage (CH) textile objects and the development of AI-based processing tools, aiming to establish a standardized protocol that seamlessly integrates into the ECCCH. By studying past and present practices in textile digitization, we methodically explore their strengths and limitations. This comprehensive assessment, enriched by contributions from co-designer groups across various use cases, helps us identify the essentials of textile digitization. Our approach to standardization is all-encompassing. We develop advanced tools that address the entire digitization life cycle of textile objects, focusing on non-destructive methods. Using robotic, cost-effective multi-sensor solutions, we ensure the preservation of artefacts during digitization, complemented by reliable data analysis workflows. Innovation lies within the core of TEXTaiLES. We integrate state-of-the-art AI technologies to shed light on the intricate details of textiles. From revealing their weaving patterns and microstructures to identifying degradation factors, our AI-driven toolkit offers in-depth insights. It further excels in motion modeling, dynamics, and the reconstruction of fragmented or lost objects. All these capabilities merge into a groundbreaking 4D multi-scale annotation interface, coupled with a digital twin model and enhanced by human-in-loop interactions. Our commitment to the CH community remains strong. We aim to embed the tools and techniques developed by TEXTaiLES into archaeological research, facilitated by the ECCCH. By supporting interdisciplinary research communities and providing upskilling opportunities, we aim to raise the textile CH domain to new heights.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdata science
- engineering and technologymaterials engineeringtextiles
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
151 25 Maroussi
Greece