Project description
Smart advances for European filmmaking industry
Europe can promote its cultural heritage by further increasing the competitiveness of the European filmmaking industry. New technologies combined with data-driven knowledge and advanced analytics offer groundbreaking ways to more effective film planning and design precisely tailored to goals and needs. In this context, the EU-funded SCENE project will introduce innovative technologies that cover the entire life cycle of filmmaking, from production to distribution, focusing on the promotion of European heritage. Project work will centre on creating multi-dimensional data lakes capable of being computationally searched. This will be possible by integrating high-quality editable 3D digital models of European cultural sites into the existing data lakes. Ultimately, SCENE will improve accessibility and global competitiveness of European films.
Objective
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.
Fields of science
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.
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
57001 Thermi Thessaloniki
Greece