Bo Han, Associate Professor, Computer Science, received funding from the National Science Foundation for: "Collaborative Research: CNS Core: Medium: Innovating Volumetric Video Streaming with Motion Forecasting, Intelligent Upsampling, and QoE Modeling."
Han's collaborators on this project are: Feng Qian, an Associate Professor in the Department of Computer Science and Engineering at the University of Minnesota, and Lili Qiu, a Professor in the Computer Science Department at the University of Texas at Austin.
Han is undertaking a holistic research agenda addressing the challenges of streaming volumetric videos over the Internet using four core approaches: multi-dimension, multi-modality motion sensing and prediction; deep-learning-based content upsampling; comprehensive Quality of Experience (QoE) modeling; and resource/motion adaptation. He aims to develop demonstrable systems and to conduct networking research with a synergy among multimedia systems, networking, wireless sensing, machine learning, computer vision, and graphics. As part of this project, the research team will develop prototypes and evaluate them in real-world settings.
Han received $196,781 from NSF for this project. Funding began in Oct. 2022 and will end in late Sept. 2026.
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