Case Study: INA automates French TV listings reconstruction with Deepomatic

Ina - Customer Case Study

Ina, the French National Audiovisual Institute, needed a better way to reconstruct TV listings sequence by sequence and day by day while standardizing how video streams are indexed. Facing incomplete, forecasted partner data and a legacy of fragmented systems, the organization turned to Deepomatic to help automate cataloguing and improve archive access.

Using Deepomatic’s image classification platform, Ina built and trained its own models to segment broadcasts and identify program structures, from news sets to reports, credits, and weather segments. Deepomatic helped improve cataloguing speed and accuracy, support data governance and enrichment, and give business teams more autonomy without relying on data scientists.

Ina