{"ID":2892298,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.15673","arxiv_id":"2507.15673","title":"Point Cloud Streaming with Latency-Driven Implicit Adaptation using MoQ","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.","short_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...","url_abs":"https://arxiv.org/abs/2507.15673","url_pdf":"https://arxiv.org/pdf/2507.15673v2","authors":"[\"Andrew Freeman\",\"Michael Rudolph\",\"Amr Rizk\"]","published":"2025-07-21T14:36:09Z","proceeding":"cs.MM","tasks":"[\"cs.MM\",\"cs.NI\"]","methods":"[]","has_code":false}