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.
WNCG alumni, Prof. Chan-Byoung Chae, along with his students and colleagues from Canada, recently received the IEEE INFOCOM 2015 Best Demo Award. They received the award for their project entitled “Molecular MIMO Communication Link.”