Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ

Read full text
Authors: Andrew C. Freeman, Michael Rudolph, Tanvir Redoy, Finn Schnier, Samira Afzal, Harrison Hassler, Amr Rizk
Cited by: 0

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.

Fields of Study & Subjects

Virtual Reality Applications and Impacts IoT and Edge/Fog Computing 3D Shape Modeling and Analysis

Publication details

Pages
57–63
Publication date
4 April 2026
Language
EN