25 TECH FEED Content Management
THE NEXT TWO YEARS WILL BE FULL OF THINGS FOUND IN ARCHIVES THAT WE NEVER THOUGHT WE HAD
this case every piece of footage would have been tagged manually, requiring hours of labour,” explains Azimi. “Broadcast archives are traditionally massive in scale, and the more content that exists, the more difficult it is to manually tag content. Automated workflows, such as AI tagging, are therefore more important than ever.” AUTOMATED DISTRIBUTION The next step to automated production is automatic publication of personalised media experiences. MAM vendor Tedial claims we are already there. Its sport event tool Smartlive uses ‘AI enhanced’ logging to
these to social platforms using iconik,” says Cantemo’s Azimi. In April, IBM partnered with the Masters to bring cognitive highlights to the golf tournament. IBM’s AI identified key highlights based on cheering, high fives, commentary and TV graphics within specific video frames. As a result, video editors were able to package and distribute highlight reels in near real time. The Recording Academy also selected IBM’s AI for the 60th annual Grammy Awards to streamline the processing of over five hours of red carpet live coverage and more
than 100,000 images while also providing lyrical and fashion analysis for fans. In a more traditional news setting, AI frameworks make it possible to immediately identify and call up clips relating to a specific topic within breaking news. In the case of a natural disaster, a broadcaster might search within a content library and use AI to identify legacy footage of what an area looked like before the disaster, or search for past incidents in the same area. “This has been possible in the past, but in
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