Aiming to create deep content metadata for broadcasters, artificial intelligence (AI)-based video identification technology provider Valossa is working with Finnish broadcasting company Yle to develop content intelligence tools for future media experiences.

The participation has yielded content intelligence tools that have provided automated ways of analysing and segmenting magazine-style long-form TV content into separate stories for compartmentalised access. The Valossa technology enables the development of content visualisations, or content heat maps, that provide detailed insights and overviews into video content. These are claimed to be at a level that ‘greatly’ exceeds the capability of reasonable human effort to create it.
“We have worked closely with Yle to create the next generation of video identification technologies, and their technical team has helped us to define far-reaching AI models for content analysis in video,” said Mika Rautiainen, founder and CEO of Valossa. “We are fortunate to have one of the most progressive broadcasters in the world as a partner as we jointly work toward crafting deeper level content understanding, and its representation as metadata, for the industry.”
The Yle Beta is designed to be an incubator for future media experiences. The incubator is an opportunity to test the possibilities of new technologies and, at the same time, together learn what they can offer Yle from the perspective of storytelling and journalism. Yle Beta builds the next-generation media experience and the best public digital service in the world. “We have collaborated with Valossa to help them bring AI-powered scene-level intelligence for broadcasting, and we believe that their technology will enable broadcasters to leverage their content – where on-air or archival material – in ways that are just being visualised today,” added Anssi Komulainen, chief partnership officer with Yle.