Increasing Video Perceptual Quality with GANs and Semantic Coding
Leonardo Galteri, Marco Bertini, Lorenzo Seidenari, Tiberio Uricchio, Alberto Del Bimbo
Abstract
We have seen a rise in video based user communication in the last year, unfortunately fueled by the spread of COVID-19 disease. Efficient low-latency delay of transmission of video is a challenging problem which must also deal with the segmented nature of network infrastructure not always allowing a high throughput. Lossy video compression is a basic requirement to enable such technology widely. While this may compromise the quality of the streamed video there are recent deep learning based solutions to restore quality of a lossy compressed video.
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