SCENE | Searchable multi-dimensional Data Lakes supporting Cognitive Film Production & Distribution for the Promotion of the EuropeaN Cultural HeritagE

Original description

The SCENE project has been majorly designed to offer the means for a modern & globally competitive, European filmmaking industry, by building upon two solid pillars, i.e. semantically cognitive AI technologies and the (in) tangible European Cultural assets, always with respect to the European values & policies regarding the human and its environment. SCENE will develop a wide set of cutting-edge technologies & services that are able to cover the whole pipeline of the film-making industry, “from farm to fork”, i.e. from the very early stages of the film planning until their playback at the audience screen. Specifically, SCENE aims to innovate by enriching the existing data lakes with high-qualitative & editable 3D digital models of European cultural sites, and by enhancing their accessibility with the integration of multi-dimensional knowledge graphs carrying location- & cultural-aware information. SCENE will further facilitate the film-making & film-editing side during the production & the post-production phase with efficient simulation & novel assessment mechanisms. Similarly, it will enable a smart & privacy-preserving interaction channels between industrial stakeholders & the audience, that will allow not only for pro-active sensing of the audience’s preferences in the pre-production phase, but also for the early identification of the most matching advertisement & distribution channels during the distribution phase, as well as the insightful matching & recommendation between films & individuals. The integration of the aforementioned technologies under the unique SCENE platform demonstrates significant capacity to render an excellent proof-of-concept prototype to guide, inspire and mark significant breakthrough in the film making industry during the post COVID era, on scientific, commercial, business & policy level.

Status

SIGNED

Url

https://cordis.europa.eu/project/id/101095303

Call topic

HORIZON-CL2-2022-HERITAGE-01-06

Update Date

09-02-2023