VRT MAX offers viewers the ability to rewatch their favorite TV shows and even watch specific sections of a show.
The classification of episodes into separate segments was done entirely manually by VRT’s editors, making it a boring, repetitive, and very time-consuming task.
Our Solution
VRT needed an application to make chaptering easier and more efficient.
We used our expertise in artificial intelligence to develop an automatic chaptering tool.
Collaborated closely with VRT’s internal team to ensure knowledge transfer, allowing them to continue working with and developing the tool independently.
Enriched videos with more metadata, providing added value beyond chaptering by making more information about their videos available.
Experimented iteratively with different machine learning techniques to develop algorithms that automatically divide episodes into chapters.
Impact Created
The developed algorithms can now automatically segment all episodes of 'De Afspraak' into chapters, significantly reducing the workload of VRT’s staff.
VRT’s internal team is empowered to further develop the tool and apply it more broadly.
Enhanced metadata extraction offers additional insights and future feature development opportunities.
The automatic chaptering tool combines human and artificial intelligence to improve efficiency without compromising the viewer experience.
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“I believe artificial intelligence has the power to change the world, and at Cronos we're doing just that.”
Fiore Fraquelli
Bussiness developer Cronos.AI
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