iSize Technologies talks at IBC on deep neural networks enhancing and accelerate existing video coding standards for internet video

iSize Technologies, the London-based provider of intelligent video coding and delivery technology, is challenging the industry with a paper at IBC 2019 describing how deep neural networks will enhance and accelerate existing video coding standards for internet video, all without breaking anything in the process.

Andreopoulos suggests that deep neural network learning is set to offer the solution to that problem, in conjunction with existing encoding standards like MPEG HEVC, Google VP9 and AOMedia AV1.

arXiv preprint .

iSize proposes a data-driven approach to the problem, i.e., instead of internally customising encoder options in a static manner or using boilerplate streaming recipes that are not tailored to the input content and encoder, they offer the new concept of deep video precoding (DVP).

DVP maps input video frames to a smaller pixel footprint, which makes the encoder more efficient. This also naturally compresses the content because the encoder handles only 6-to-64 percent of the original video resolution pixels. It is applied as an enhancement option over existing codecs and existing upscaling solutions at the client device and does not require any change to the current landscape of software and hardware players or decoders. The obvious benefit is that this approach overcomes the so-called hidden technical debt' of machine learning, since it requires no changes at the encoding, transport, or decoding sides of the equation.

Andreopoulos will present the conference paper at the IBC 2019 AI technical session in Amsterdam on Tuesday 17 September alongside other AI researchers. iSize will also showcase its BitSave AI-powered encoding platform on Stand 8.F25 during IBC from 13-17 September.

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