In an era where information is abundant and news is consumed via multimedia platforms, there is a greater need than ever for efficient summarising tools.
Led by Eurecat with the support of the Computer Vision Center and the Polytechnic University of Catalonia, this transformational project at the intersection of technology and journalism introduces cutting-edge automated tools designed for end-to-end synthesis of video content and dynamic illustration, all driven by the power of deep learning methods.
The development of this project goes beyond simple summary as it recognises the critical role of illustration in enhancing comprehension. We aim to harness advanced deep learning techniques to dynamically generate visual representations which encapsulate the key elements of news stories.
The results of the project enhance the consumer’s experience and also allow content creators to convey complex information with clarity and impact. In short, this presentation will show the results of the creation of innovative tools for new forms of storytelling, revolutionising the way we interact with news in the digital age.
In this session, CIDAI in conjunction with 3Cat will showcase the results and knowledge acquired during the implementation of one of the High Impact Projects in which multimodal generative AI tools have been used.
