JUMP Data-Driven Video, the pioneers behind the world’s most advanced actionable data management platform specifically designed for the video industry, announces that Spanish national broadcaster, RTVE, has identified the potential of JUMP’s data-driven video technology for optimised video tagging. Given the demonstrated strength of the JUMP platform, RTVE has chosen to support JUMP in its continued development of its underlying technology. JUMP was selected from among many technology providers for this initial technological collaboration.
RTVE (the Spanish Radio and Television Corporation) manages the Spanish public radio and television service and is the largest audiovisual group in Spain, broadcasting in Spanish.
RTVE has an innovative vision and is banking on JUMP to prove itself part of that vision. Throughout the course of the RTVE collaboration, Jump aims to realise the full potential of the Jump data-driven platform — specifically, the JUMP AI Engine— to enhance the search and discovery functionality of broadcasters’ video content catalogues.
The JUMP AI Engine is an AI toolkit that turbo-charges a video service’s internal data practice by supplementing their efforts with an AI capability. JUMP’s AI engine uses machine-learning technology to enrich video data and comes with simple-to-use APIs, thus providing technical and business managers the tools they need to transform their business into an AI-powered video service.
The Jump AI Engine is built on machine learning and deep learning technologies such as: computational linguistics, Latent Dirichlet Allocation (LDA), You Only Look Once (YOLO), Neural Networks, Multi-Layer Perceptron, Naive Bayes, OneHotEncoder, Feature Vector Extraction, video and audio conversion algorithms, and video frame division algorithms — all of which have been optimised and verticalised specifically for the video entertainment industry.
The JUMP AI Engine implementation will address RTVE’s tagging requirements for its extensive catalogue of audiovisual assets, which includes movies and series. It will provide tags related to the objects that appear in the video content, the text legends, and even the mood of the people appearing in the video.
The different processing mechanisms and advanced video analysis used include: automatic object tagging; the identification of individual faces and the emotional state they are in; and, the tagging of text extracted from synopses and the dialogue transcripts that are generated directly from the video content.
This approach to cataloguing content represents an enormous time and resource savings for any video service and, in this case, will represent a notable efficiency increase in the Spanish broadcaster’s management of its vast content catalogue.
“We believe the video industry is in the middle of a perfect storm of increasing video consumption, intensified competition, and a proliferation of artificial intelligence technology, all of which is completely changing the video market as we know it,” says Jerónimo Macanás, CEO and co-founder of Jump. “We feel privileged to help fuel the innovation that will help broadcasters and video platforms successfully address the challenges associated with optimal video catalog classification, to help them stay ahead of the competition, and better serve their audience through optimised content tagging, which in turn delivers an enhanced audience search and discovery experience. We are fully committed to contributing to the improvement of their business through the effective use of business data.”
“RTVE has the most important radio and TV archives in Spain, and it is essential that we have a tagging solution that acts jointly on specific elements (audio, synopsis, characters, emotional, etc.). Because there is not a single solution on the market capable of meeting our needs, RTVE saw in JUMP a solid collaborative opportunity in this area,” says Javier Sánchez, Head of Strategy at RTVE Innovation Center. “The collaboration framework established through our vertical accelerator, Impulsa Vision RTVE, is proving very beneficial for both parties. We hope to have a powerful solution in the short term that not only satisfies our needs, but also the needs of other broadcasters similar to RTVE.”