2020 IASA - FIAT/IFTA Joint Conference

New technologies based on Artificial Intelligence algorithms have been implemented in ATRESMEDIA Archive, Spain, since 2019.

Focusing primarily on media assets with a strong predominance of speech content, the project covers the identification and segmentation of speakers for video content, as well as the automatic cataloguing of still images.

These new functionalities have been carefully integrated in the ATRESMEDIA MAM workflows and embedded in cataloguing tools and processes. The user’s search interface has also been adapted to incorporate this new source of automatically generated metadata. Optional search modes and visual distinction of metadata according to its origin are both elements of this integration, as well as the new ontology which is surfable through graphs, trees and nodes. The first objective to be achieved with this new approach to media management in ATRESMEDIA will be the significant reduction of the highly time-consuming work of segmentation and description of this type of media files, as it has been conceived as a real and tangible aid in daily operations. By leaning on technological innovations, there is a very ambitious objective underlying this project: the challenge of transforming the traditional role of television archivists, gradually putting aside such tasks as selection, cataloguing and searching in favor of another professional profile more committed to the content generation and management itself.