CORDIS Project
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This project develops a novel congestion control technology for adaptive video streaming and conferencing. By using machine learning, it optimizes data transmission rates based on real-time performance needs, aiming to enhance user experience in online video applications.
We leverage online machine learning and next-generation congestion control to maximize Quality of Experience (QoE) for adaptive video streaming and video conferencing.
Compatible with any HTTP-based application, our technology will significantly disrupt the Over-the-top (OTT) video market.Today, the dominant congestion control protocols (TCP and increasingly BBR) are one-size fits all and consequently fail to deliver good QoE.
Our solution is based on something new:
Performance-oriented Congest…
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