FOR THE FANS Solidsport’s IQ Sports Producer system requires a single operator, enabling remote production
that a use case became clear. During the UK’s first lockdown, Arrow faced a significant challenge: completing 30 hours of unfinished programming. With editors storyboarding the shots they still needed, it was Carew-Jones’ task to find the specific footage that could fill those gaps. “As they were returning 2000 hours of unused footage – 86,000 video clips – our first idea was to employ a small team of people to start logging the footage. But that was going to take time that we didn’t have,” he admits. So, Carew-Jones turned to Curio, an AI-driven solution from US-based data solutions outfit, GrayMeta. It is designed to unlock information
hidden inside assets such as words, images, logos, sounds, noises, faces and people. It works by taking a couple of frames every second and analysing the content. Curio is capable of doing this for huge volumes of footage in a relatively short time period. In Arrow’s case, Carew-Jones added that it processed 2000 hours of footage in five days. It helped that Arrow International was already in a strong position to start employing Curio – the company uploads most of its footage to the cloud and it had a solid naming protocol in place for all of its rushes. Carew-Jones emphasises that machine learning still requires a great level of human assistance: the five loggers, who worked on the initial tagging before Curio took over, were soon redeployed as five searchers. “The results were not enough on their own – humans are still needed for context for complex requests.
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