EVS releases XtraMotion, its cloud service for super slow-motion replays

EVS releases XtraMotion, its cloud service for super slow-motion replays

EVS has announced the release of XtraMotion. The new cloud service uses Artificial Intelligence to create super-slow motion replays. This solution has been tested successfully by Fox Sports during the last months.

Normally, the native super slow-motion sources cannot be deployed in every environment. Most point-of-view cameras are not capable of producing super slow-motion video and the cost of this infrastructure usually makes them not affordable.

Now with XtraMotion, productions benefit from super slow-motion on virtually every camera angle as the high frame rate is created on-demand rather than natively. Relying on machine learning algorithms developed by EVS, the process works for any production format – from 1080i to UHD/HDR – and any original framerate, transforming a 60fps video into 180fps video. It also works on post and archived content.

XtraMotion was first evaluated by FOX Sports at Super Bowl LIV last year, to convert standard frame rate clips from the specialty cameras into high frame rate footage. It has since been used on other productions including MLB’s World Series in Arlington, Texas in November 2020, and on a more regular basis for live coverage of the NFL, NCAA College Basketball and NASCAR.

“EVS’ XtraMotion has continued to show a lot of potential since the first tests were conducted during last year’s Super Bowl, so it seems only natural to use it on more of our productions moving forward,” said Mike Davies, SVP, Field and Technical Management and Operations, Fox Sports. “Storytelling is always top of mind at FOX Sports and applying the XtraMotion effect onto our increasing number of specialty cameras really helps us give that extra visual wow factor to our productions.”

Christophe Messa, Product Manager at EVS, said: “FOX Sports believed in XtraMotion from the very beginning and we have used each of our interactions with their experienced team during live events to improve our solution. We are now very proud to see it being deployed for its productions on a regular basis.”

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