ReTV award-winning paper at the MMM2020

On January 8th, ReTV’s partners CERTH presented the ReTV-supported paper on “Unsupervised Video Summarization via Attention-Driven Adversarial Learning” at the 26th International Conference on Multimedia Modeling in Daejeon, Korea.... read more →

How AI is Reinventing TV

Artificial Intelligence has become a buzzword in academia and industry. Some advances made possible by AI have achieved huge publicity - automatic translation, voice controlled assistants or deepfakes, for... read more →

The SUM-GAN-sl method for video summarization

Say hello to SUM-GAN-sl, a deep learning architecture for unsupervised video summarization, that doesn’t require the existence of extensively annotated data. Video summarization provides a short visual summary that... read more →

IFA 2018 – Visiting the Digital Future

As part of (German public broadcasting network) the ARD’s ‘Digital World’ presentation at IFA (31.08-05.09.2018), public broadcaster RBB demonstrated the latest results from their current EU-funded projects, including Hyper360, ImAc,... read more →

Beyond TV audience forecasting

Forecasting the audience for a particular TV show is an old, but still relevant problem. It is important to know the future audience of a show as precisely as possible... read more →

ReTV project kicked off in Amsterdam

The new H2020 project ReTV (Enhancing and Re-Purposing TV Content for Trans-Vector Engagement) kicked off in Amsterdam on the 31st of January 2018. The meeting was hosted by coordinator, Vrije... read more →