Computer Science Speaking Skills Talk

Wednesday, May 25, 2022 - 1:00pm to 2:00pm


In Person and Virtual - ET Traffic21 Classroom, Gates Hillman 6501


DEVDEEP RAY, Ph.D. StudentComputer Science DepartmentCarnegie Mellon University

Handling packet loss for ultra-low latency video streaming applications

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). In this talk, we will present 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. This 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. Presented in Partial Fulfillment of the CSD Speaking Skills Requirement. In Person and Zoom Participation. See announcement.

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Speaking Skills