Starting from previous research experiences and tangible outcomes, STORM proposes a set of novel predictive models and improved non-invasive and non-destructive methods of survey and diagnosis, for effective prediction of environmental changes and for revealing threats and conditions that could damage cultural heritage sites. Moreover, STORM will determine how different vulnerable materials, structures and buildings are affected by different extreme weather events together w…
WhoLoDancE is an EU funded innovation project. By applying multimodal technologies such as motion capture, similarity search, computational models, automated analysis of non-verbal expressive features, movement content analysis, and complex data analytics, WhoLoDancE aims at innovating dance teaching methods and choreographic composition, while also preserving the European dance cultural heritage. - www.wholodance.eu
Europe’s digital sector has seen strong growth in recent years. The pace of development and change in the information technology sector presents challenges to cultural institutions responsible for management and long-term preservation of digital collections. Ensuring that staff gain access to the necessary training is a challenge that institutions face. A Market and Trend Analysis Report completed by DigitalPreservationEurope showed that digital preservation is becoming one of the main strategic priorities for institutions – they are increasingly aware that digital resources are fragile and that they are at risk.
The DigCur community in Zenodo builds on the results of the DigCurV project with the aim of addressing the availability of vocational training for digital curators in the library, archive, museum and cultural heritage sectors needed to develop new skills that are essential for the long-term management of digital collections.
The overall objectives of the GRAVITATE project are to create a set of software tools that will allow archaeologists and curators to reconstruct shattered or broken cultural objects, to identify and re-unify parts of a cultural object that has been separated across collections and to recognise associations between cultural artefacts that will allow new knowledge and understanding of past societies to be inferred.
The project involves, as partners, a world-renowned museum, an archaeology institute, and research partners working in the manipulation of 3-D objects, semantic analysis and ICT integration. The project is driven by the needs of the archaeological institutes, exemplified by a pertinent use case, the Salamis collection shared between Cyprus and the British Museum.
Expertise in 3-D scanning from previous project experience enables the partners to embark on a programme of geometrical feature extraction and matching on the one hand, and semantic annotation and matching on the other. The integration of these approaches into a single decision support platform, with a full suite of visualisation tools will provide a unique resource for the cultural heritage research community.
We anticipate that the insights to be gained from the use of these tools will lead to faster and more accurate reconstruction of cultural heritage objects for study and exhibition, to greater opportunities for reunification of objects between collections and greater insights into relationships between past societies which can be communicated as coherent narratives to the public through new forms of virtual and tangible displays, involving the reconstructed objects themselves as well as 3-D printed objects and digital visualisations.
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