An artificial intelligence (AI)-enhanced video compression model developed by computer scientists at the University of California, Irvine (UCI) and Disney Research has shown that deep learning can provide results comparable to established video compression technology.
The team showed its compressor yielded less distortion and significantly smaller bits-per-pixel rates than classical coding-decoding algorithms when trained on specialized video content.
The compressor achieved similar results on downscaled, publicly available YouTube videos. “Ultimately, every video compression approach works on a trade-off,” said UCI's Stephan Mandt. "The hope is that our neural network-based approach does a better trade-off overall between file size and quality.”
From University of California
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