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Prof. Al Bovik's VIF Picture Quality Measurement Tool Built as Core of Netflix's Video Quality System

Oct. 10, 2017
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.
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Prof. Joydeep Ghosh receives $496K from NSF

Aug. 18, 2014
Much of life involves setting priorities. In the age of information overload, the need to select relevant information and prioritize is greater than ever. Ranking product choices, identifying items of greatest relevance and interest and setting priorities are widespread issues in economics, health informatics and online networks.