Saving bandwidth through machine learning

When requesting a high-resolution image with the Android Google+ app, one no longer gets the full version sent over. Instead, one gets a low-resolution version which is then processed by RAISR:

RAISR, which was introduced in November, uses machine learning to produce great quality versions of low-resolution images, allowing you to see beautiful photos as the photographers intended them to be seen. By using RAISR to display some of the large images on Google+, we’ve been able to use up to 75 percent less bandwidth per image we’ve applied it to.

Wow!

Google Blog: Saving you bandwidth through machine learning →
Enhance! RAISR Sharp Images with Machine Learning →

Published by Bramus!

Bramus is a frontend web developer from Belgium, working as a Chrome Developer Relations Engineer at Google. From the moment he discovered view-source at the age of 14 (way back in 1997), he fell in love with the web and has been tinkering with it ever since (more …)

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