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Content adaptive compression can boost codec performance 50%

Content adaptive compression involving neural networks and other techniques are set to infiltrate the next generation of codecs and yield substantial improvements in encoding efficiency. The potential has now been well proven by Netflix, which has just finished re-encoding its entire catalog with the help of content adaptation methods developed in partnership with the Universities of Southern California, Nantes, France and Texas in Austin. Netflix has combined these techniques with the established codecs such as HEVC and H.264 to compress further, achieving on average just over 20% lower bit rate, per title. However this is content dependent, so the degree of efficiency gain varies, but given Netflix accounts for 40% of all Internet traffic in the USA this could liberate…

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