Demonstration of Viewport-Aware Hybrid Broadcast-Unicast Streaming for Volumetric Video

Real-time streaming of volumetric video requires low latency and high bandwidth, making it hard to scale efficiently with unicast delivery alone. This work presents a multi-path transport framework that combines broadcast and unicast to enable scalable, bandwidth-efficient delivery of interactive volumetric content. A base layer is transmitted via broadcast using File Delivery over Unidirectional Transport, while enhancement layers are fetched on demand via Dynamic Adaptive Streaming over HTTP based on the viewer’s viewport. The approach reduces redundant transmissions and enables fine-grained adaptation without compromising interactivity. An end-to-end implementation is demonstrated with real-time viewport tracking, dynamic quality switching, and live monitoring under varying bandwidth constraints, improving reliability, achieving sub-40 ms latency and reducing per-client unicast load by $18 \mathrm{Mbps}(15 \%)$ per object at the highest quality.

Authors

Institutions

Publication Details

Published
2025-09-30
DOI
https://doi.org/10.1109/nof66640.2025.11223293
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demonstration of Viewport-Aware Hybrid Broadcast-Unicast Streaming for Volumetric Video

Filip De Turck, Tim Wauters, Casper Haems, Matthias De Fré
Image and Video Quality Assessment
article

Demonstration of Viewport-Aware Hybrid Broadcast-Unicast Streaming for Volumetric Video

Filip De Turck, Tim Wauters, Casper Haems, Matthias De Fré
article en

Abstract

Real-time streaming of volumetric video requires low latency and high bandwidth, making it hard to scale efficiently with unicast delivery alone. This work presents a multi-path transport framework that combines broadcast and unicast to enable scalable, bandwidth-efficient delivery of interactive volumetric content. A base layer is transmitted via broadcast using File Delivery over Unidirectional Transport, while enhancement layers are fetched on demand via Dynamic Adaptive Streaming over HTTP based on the viewer’s viewport. The approach reduces redundant transmissions and enables fine-grained adaptation without compromising interactivity. An end-to-end implementation is demonstrated with real-time viewport tracking, dynamic quality switching, and live monitoring under varying bandwidth constraints, improving reliability, achieving sub-40 ms latency and reducing per-client unicast load by $18 \mathrm{Mbps}(15 \%)$ per object at the highest quality.

HOGENT University of Applied Sciences and Arts (BE), Ghent University (BE), iMinds (BE)
European Commission
Openalex Percentile: Top 67%
Image and Video Quality Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.