Error-resilient video streaming with AI-powered codecs
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59 дней – 3073:08Опубликовано 20 марта 2026, 8:58
Network congestion and packet loss can destroy video quality in conventional streaming, turning frames into unwatchable artifacts or black screens. Our breakthroughs in learned image compression technology changes...
Our system uses advanced technology that partitions video into different layers and features a lightweight design. Even if only part of the video data gets through, you still see the whole picture—just at temporarily lower quality. This means you get a smoother viewing experience even during network issues, with up to 2.27 dB better image quality than regular streaming methods, all without using more data.
Our approach handles network congestion, packet loss, high error rates, and bandwidth limitations while maintaining optimal performance when conditions are favorable.
Discover the full research on error-resilient learned image codecs by H. Zhang, A.B. Koyuncu, J.I. Ahonen, N. Le, N. Zou and F. Cricri.
ieeexplore.ieee.org/document/1...
Our system uses advanced technology that partitions video into different layers and features a lightweight design. Even if only part of the video data gets through, you still see the whole picture—just at temporarily lower quality. This means you get a smoother viewing experience even during network issues, with up to 2.27 dB better image quality than regular streaming methods, all without using more data.
Our approach handles network congestion, packet loss, high error rates, and bandwidth limitations while maintaining optimal performance when conditions are favorable.
Discover the full research on error-resilient learned image codecs by H. Zhang, A.B. Koyuncu, J.I. Ahonen, N. Le, N. Zou and F. Cricri.
ieeexplore.ieee.org/document/1...
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