Journalists, broadcasters, as well as simple users regularly create video content to be published in established (e.g., TV) and emerging (e.g., Twitter, Facebook, YouTube, Instagram) channels. Whilst content... read more →
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 →
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 →
You wake up and check the weather forecast, your emails and social media notifications on your smartphone. You will... read more →