WNCG professor Alan Bovik and his research team were recognized for algorithms that optimize streaming media at the 72nd Annual Technology & Engineering Emmy® Awards. While winners were announced earlier this year, the awards were presented in a virtual ceremony livestreamed on November 4.
Bovik's algorithms for perceptually optimized compression of streaming video control 70% to 80% of all bits transmitted across the internet, and are used by streaming giants like Netflix, Amazon, and KZitem. The algorithms control the compression of videos as they are streamed, using theories of visual neuroscience to make them perceptually optimal - as visually appealing to the human eye as possible. These compression algorithms greatly reduce the bandwidth needed for streaming media, while increasing video quality and making it easier for people with slower internet connections to access content online.
This is the second Emmy® for Dr. Bovik, who won a Primetime Engineering Emmy Award with his team in 2015 for "Outstanding Achievement in Engineering Development" for inventing the Structural Similarity (SSIM) Video Quality Measurement Model.
Read more at wncg.org/news/...
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