Summary
EMERALD is a 30-month IA to develop and demonstrate exemplary tools for the digital entertainment and media industries using AI Machine Learning and Big Data technologies, to automate and speed processing, increase production efficiency, use less energy and increase the quality of content. There is a massive increase in the volume of video-based and extended reality content, with an unsustainable demand for skilled human resources, data processing and energy. EMERALD aims to meet the challenge by developing process automation for sustainable media creation; creating a testbed for measuring the energy used in media computation; developing more efficient data use for AI/ML in entertainment and media applications; reducing the power demands for large-scale media data processing; and creating acceptance and demand for AI and sustainable production technologies in the entertainment and media industries.
The interdisciplinary Consortium of seven partners includes leading companies from the movie, broadcast, streaming and live entertainment technology sectors, supported by two major European universities.
The interdisciplinary Consortium of seven partners includes leading companies from the movie, broadcast, streaming and live entertainment technology sectors, supported by two major European universities.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101119800 |
Start date: | 01-10-2023 |
End date: | 31-03-2026 |
Total budget - Public funding: | 2 689 186,25 Euro - 2 191 223,00 Euro |
Cordis data
Original description
EMERALD is a 30-month IA to develop and demonstrate exemplary tools for the digital entertainment and media industries using AI Machine Learning and Big Data technologies, to automate and speed processing, increase production efficiency, use less energy and increase the quality of content. There is a massive increase in the volume of video-based and extended reality content, with an unsustainable demand for skilled human resources, data processing and energy. EMERALD aims to meet the challenge by developing process automation for sustainable media creation; creating a testbed for measuring the energy used in media computation; developing more efficient data use for AI/ML in entertainment and media applications; reducing the power demands for large-scale media data processing; and creating acceptance and demand for AI and sustainable production technologies in the entertainment and media industries.The interdisciplinary Consortium of seven partners includes leading companies from the movie, broadcast, streaming and live entertainment technology sectors, supported by two major European universities.
Status
SIGNEDCall topic
HORIZON-CL4-2022-DIGITAL-EMERGING-02-05Update Date
31-07-2023
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