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Netflix's new algorithm increases quality, reduces bandwidth required

Netflix is re-encoding its entire library of video, increasing the quality while reducing the bandwidth required.

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We all know the strain of using Netflix on anything less than a fiber connection, so you'll be happy to hear that Netflix's design team have been working for quite a while on a new algorithm that will not only increase the quality of its streaming content but reduce the bandwidth required to stream said content.

Netflix's new algorithm increases quality, reduces bandwidth required | TweakTown.com

Netflix has been tweaking its algorithm since 2011 when it hit a road block and realized it had been going about the process entirely wrong. Instead of attempting to encode video specifically for the type of bandwidth a subscriber used, Netflix realized that they should be encoding each individual title to best suit that movie, or TV show's needs. This means that shows like Barbie: Life in the Dreamhouse would use less kilobits while streaming, compared to something like Man of Steel. Barbie won't require that much visual fidelity, but the big Hollywood movies do.

The streaming giant has begun re-encoding its entire library with the new algorithm, with Netflix ever so slowly rolling out the newly encoded content to see if subscribers would be able to tell the difference. The next question is why? Why would Netflix go through all of this hassle. Well, considering Netflix streaming chews up a huge 37% of all the Internet traffic in the United States, but with the new algorithm, Netflix could see this drop to only 20%, according to Anne Aaron, Netflix's Video Algorithms Manager.

News Source:polygon.com

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Gaming Editor

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Anthony joined TweakTown in 2010 and has since reviewed 100s of tech products. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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