It applies AI to 11,000 hours of content from its archive, including material produced in the 1960s and 1970s, using the VSNExplorer MAM cloud service with an AI engine from Etiqmedia.
The VSNExplorer MAM is at the heart of RTVE’s new project
After four months of testing, the year-long project kicked off in October, with files from the archive ingested into VSNExplorer MAM. The system creates a previous asset with the media file and an XML file with information about the content provided by the network. Then the AI engine starts generating metadata. All the extracted information is then displayed in a single, centralized interface.
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For audio, the technology can retrieve a full text transcript in minutes, including recognizing the people, places, events, products, organizations, and dates that are mentioned, creating an automated catalog of content and keywords. For video, it has facial recognition and identifies the scene, as well as the objects, tags and signs that appear.
Virginia Bazán Gil, Project Manager, RTVE Documentary Archive, said: “This project not only provides access to thousands of hours of quality content, it is also a unique opportunity to influence the development of technologies that will common in the future.
RTVE is also using VSNExplorer MAM for a new Innovation Hub project that investigates the use of cloud-based tools to create news content in small news production centers.
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