Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ

Andrew Freeman; Michael Rudolph; Amr Rizk

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arXiv · 2507.15673

Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ

Andrew Freeman·Michael Rudolph·Amr Rizk

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Abstract

Point clouds are a promising video representation for virtual and augmented reality. Their high-bitrate, however, has so far limited the practicality of live streaming systems. In this work, we leverage the delivery timeout feature within the Media Over QUIC protocol to perform implicit server-side adaptation based on an application's latency target. Through experimentation with several publisher and network configurations, we demonstrate that our system unlocks a unique trade-off on a per-client basis: applications with lower latency requirements will receive lower-quality video, while applications with more relaxed latency requirements will receive higher-quality video.

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Andrew Freeman, Michael Rudolph, Amr Rizk. 2025-07-21. Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ. https://arxiv.org/abs/2507.15673

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