Search engines are trying to use algorithms to analyze the creative content of Vine Videos.
In January 2013, a video sharing service called Vine suddenly hit cyberspace. The service, owned by Twitter, was unique because users were allowed to record and share videos that were no more than six seconds long. But within months, it had become the most popular video sharing application on the web and the most downloaded free app on the Apple store.
The time constraint has had an interesting impact on the creative process: it has forced users to tell their stories in just six seconds. That, in turn, has lead to an entirely new genre of filmmaking that now has its own six second filmmaking category at the Tribeca Film Festival in New York.
The extraordinary success of six second videos offers a curious opportunity. Because the videos are so short, they are relatively easy to analyse using machine vision algorithms and audio analysis techniques. And that raises an interesting question. Can these automated techniques tell the difference between six second videos that humans consider creative and those considered noncreative.
Today, we get an answer thanks to the work of Miriam Redi at Yahoo Labs in Barcelona, Spain, and a few pals who have used crowdsourcing techniques and machine algorithms to analyse some 4000 six-second videos from the Vine streamline. Their results suggest that machines can do a pretty good job of distinguishing between creative and noncreative content—at least in the six-second genre.
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