Trial description

TAMIS is paving the way for building a specific data space for the audiovisual ecosystem, addressing first the creation and exchange of data during the production phase up to the distribution.

Objective

Enhancing sourcing and interoperability of metadata associated with audiovisual works.

AI

Ensure the preparation of data sets of good quality that could be exploited for AI algorithms’ training, thanks to better structured data. Enriched descriptive metadata will also improve findability of Audiovisual works by AI tools such as recommendation algorithms. Tamis will extend AI possibilities to semantic technologies.

Media and Techs involved

Cap Digital, CST, France Télévisions, France Télévisions Studio, INA, PROCIREP, SPTD, ISAN-IA, Lum::Invent, Startin’Blox, Perfect Memory.