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Algorithm automatically cuts boring parts from long videos

Algorithm automatically cuts boring parts from long videos


Smartphones, GoPro cameras and Google Glass are making it easy for anyone to shoot video anywhere. But, they do not make it any easier to watch the tedious videos that can result. Carnegie Mellon University computer scientists, however, have invented a video highlighting technique that can automatically pick out the good parts.

Called LiveLight, this method constantly evaluates action in the video, looking for visual novelty and ignoring repetitive or eventless sequences, to create a summary that enables a viewer to get the gist of what happened. What it produces is a miniature video trailer. Although not yet comparable to a professionally edited video, it can help people quickly review a long video of an event, a security camera feed, or video from a police cruiser's windshield camera.

A particularly cool application is using LiveLight to automatically digest videos from, say, GoPro or Google Glass, and quickly upload thumbnail trailers to social media. The summarization process thus avoids generating costly Internet data charges and tedious manual editing on long videos. This application, along with the surveillance camera auto-summarization, is now being developed for the retail market by PanOptus Inc., a startup founded by the inventors of LiveLight.

Stashed in: Turing, Virtual Reality!, GoPro, Big Data in Entertainment and Media

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like an automatic Vine creator? 

Kind of. Or an automatic trailer maker. Or an automatic gif maker!

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