Netflix Uses AI in Its New Codec To Compress Video Scene By Scene (qz.com)

An anonymous reader shares a Quartz report: Annoying pauses in your streaming movies are going to become less common, thanks to a new trick Netflix is rolling out. It's using artificial intelligence techniques to analyze each shot in a video and compress it without affecting the image quality, thus reducing the amount of data it uses. The new encoding method is aimed at the growing contingent of viewers in emerging economies who watch video on phones and tablets. "We're allergic to rebuffering," said Todd Yellin, a vice president of innovation at Netflix. "No one wants to be interrupted in the middle of Bojack Horseman or Stranger Things." Yellin hopes the new system, called Dynamic Optimizer, will keep those Netflix binges free of interruption when it's introduced sometime in the next "couple of months." He was demonstrating the system's results at "Netflix House," a mansion in the hills overlooking Barcelona that the company has outfitted for the Mobile World Congress trade show. In one case, the image quality from a 555 kilobits per second (kbps) stream looked identical to one on a data link with half the bandwidth.

Comments

For all the people saying this isn't AI

[Solandri]

Netflix does use AI in developing the video compression algorithm. The problem with encoding videos with lossy algorithms is that video quality is a subjective thing. You need a person to watch it and tell you how good the video quality looks. This makes it rather slow and difficult to do A/B testing, not to mention how boring it is watching the same clips over and over with different encoding.

Netflix got around the problem by using machine learning to teach a computer when video quality looked good. They had a bunch of people watch videos with different compression and rate the quality, then told the AI that their ratings were gospel. It then analyzed the different videos and decided for itself which features were associated with good quality. Once the computer was generating the video ratings as people, they had a rapid way to do A/B testing. That allowed them to optimize their compression algorithm in much less time than with using humans to rate video quality.

I'm not sure why Summary links to some popular news article which talks in general about Netflix using AI, instead of linking to the actual Netflix page describing exactly what they did. This used to be the sort of technical detail you'd expect from slashdot submissions.