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Texas ECE Professor Al Bovik’s neuroscience-based Visual Information Fidelity (VIF) picture quality measurement tool has been built into the core of Netflix’s quality system which controls the quality of every video streamed by Netflix to all customers world-wide. VIF is a full reference image quality assessment index that is based on natural scene statistics, and on a model of the type of image information that is extracted by the human visual system. It was developed by Prof.

IRVINE, Calif. – June 5, 2015 – The University of Texas at Austin graduate student Yingzhe Li presented innovative engineering research at the fourth annual Broadcom Foundation University Research Competition sponsored by Broadcom Foundation, a non-profit funded by Broadcom Corporation (NASDAQ: BRCM). Li’s project is titled “A Stochastic Geometry Approach to the Coexistence of LTE and Wi-Fi in Unlicensed Spectrum.”