V-Nova Adds Machine Learning To Encoder

Compression specialist V-Nova has added Machine Learning capabilities to its PERSEUS Pro codec. This has been implemented into V-Nova’s P.Link encoder/decoder hardware.

The demand for higher definition video, delivered over existing network infrastructure, is placing more strain on operators and their network providers, who desperately need efficient codecs to avoid costly upgrades to their connections, according to Guido Meardi, CEO and co-founder at V-Nova.

“P.Link and the PERSEUS Pro codec that powers it had already revolutionized the contribution space by enabling studio-quality, intra-only HD and UHD at vastly lower bitrates than existing solutions. With our machine-learning advances, we’re now able to deliver visually lossless UHD at just 140Mbps, which is comparable with what many operators are currently using to deliver HD [DPP recommendations on JPEG-2000 delivery for HD].”

PERSEUS Pro is claimed to have huge efficiency gains over J2K and MPEG4 solutions. By incorporating Machine Learning and more specifically, Convolutional Neural Networks the codec “has been trained to identify common video features such as edges and curves. By identifying those features across the various layers, the amount of residual data required for reconstruction is reduced and allows PERSEUS Pro to deliver a truly accurate picture, even at lower bitrates.”

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