Prism: Handling Packet Loss for Ultra-low Latency Video
Devdeep Ray, Vicente Bobadilla Riquelme, Srinivasan Seshan
摘要
Real-time interactive video streaming applications like cloud-based video games, AR, and VR require high quality video streams and extremely low end-to-end interaction delays. These requirements cause the QoE to be extremely sensitive to packet losses. Due to the inter-dependency between compressed frames, packet losses stall the video decode pipeline until the lost packets are retransmitted (resulting in stutters and higher delays), or the decoder state is reset using IDR-frames (lower video quality for given bandwidth). Prism is a hybrid predictive-reactive packet loss recovery scheme that uses a split-stream video coding technique to meet the needs of ultra-low latency video streaming applications. Prism's approach enables aggressive loss prediction, rapid loss recovery, and high video quality post-recovery, with zero overhead during normal operation - avoiding the pitfalls of existing approaches. Our evaluation on real video game footage shows that Prism reduces the penalty of using I-frames for recovery by 81%, while achieving 30% lower delay than pure retransmission-based recovery.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper2
- BAROC: Concealing Packet Losses in LSNs with Bimodal Behavior Awareness for Livecast IngestionHaoyuan Zhao, Jianxin Shi, Guanzhen Wu, Hao Fang 等INFOCOM 2025 · 被引用 1 次
- PDStream: Slashing Long- Tail Delay in Interactive Video Streaming via Pseudo-Dual StreamingXuedou Xiao, Yingying Zuo, Mingxuan Yan, Kezhong Liu 等INFOCOM 2025 · 被引用 1 次
相关 Paper
- Hairpin: Rethinking Packet Loss Recovery in Edge-based Interactive Video StreamingZili Meng, Xiao Kong, Jing Chen, Bo Wang 等NSDI 2024 · 被引用 49 次
- TwinStar: A Practical Multi-path Transmission Framework for Ultra-Low Latency Video DeliveryHaiping Wang, Zhenhua Yu, Ruixiao Zhang, Siping Tao 等ACM MM 2023 · 被引用 8 次
- Breath: Adaptive Protection Boundary in FEC Encoding for Mobile Real-Time Video StreamingShiyang Huang, Gerui Lv, Yuankang Zhao, Jiaxing Zhang 等WWW 2026
- Toward Timeliness-Enhanced Loss Recovery for Large-Scale Live StreamingBo Wu, Tong Li, Cheng Luo, Xu Yan 等ACM MM 2024 · 被引用 2 次
- Low-latency FoV-adaptive Coding and Streaming for Interactive 360° Video StreamingYixiang Mao, Liyang Sun, Yong Liu, Yao WangACM MM 2020 · 被引用 28 次
