Amagi has launched a new content preparation service that uses machine learning to format video for on-demand and OTT TV platforms.
The company says Tornado's artificial intelligence is nearly six times more efficient than manual content preparation and allows broadcasters to streamline workflows. One of its key functions is to identify ad breaks in content so it can be monetised on new platforms.
Tornado enables content owners, networks and other users to:
- Factory-scale VoD segment creation: Linear broadcast model is highly reliant on sophisticated processing of video for ad break points identification, credits, colour bars and blacks. Tornado makes this process completely automated, allowing broadcasters to simply upload video assets to the service, and then prepare breakpoints based on pre-loaded inputs from human content preparation specialists.
- Auto ad detection of mid-roll ads: Using machine learning techniques, Tornado can automatically detect ads in linear broadcast streams without any ad markers by comparing video segments with an active ad library. This allows broadcasters to better optimise their mid-roll ads allowing them to insert the most appropriate, localised ads within their feeds which is challenging for OTT advertisers and broadcasters today.
- Near real-time live to VoD conversion: Tornado will soon allow broadcasters to create near real-time creation of VoD content from live broadcasts. Meaning, for example, broadcasters can create sports highlights packages automatically with little to no human effort required from “fresh off-the-air” sports contests and more.
“Given how competitive broadcasting has gotten today, it has never been more important for broadcasters to be able to optimise their operations and spends,” said Deepakjit Singh, CEO at Amagi.
“Tornado is game-changing for broadcasters and their teams today, allowing them to spend more time on creating better experiences for consumers and less time on mundane tasks.”