Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming

Author:

Jeppsson Mattis1,Espeland Håvard N.1,Kupka Tomas1,Langseth Ragnar1,Petlund Andreas1,Peng Qiaoqiao2,Xue Chuansong2,Johansen Dag3,Pogorelov Konstantin4,Stensland Håkon4,Griwodz Carsten5,Riegler Michael6,Halvorsen Pål7

Affiliation:

1. ForzaSys AS, Norway

2. Huawei Technologies, P. R. China

3. UiT — The Arctic University of Tromsø, Norway

4. Simula Research Laboratory, Norway

5. University of Oslo, Norway

6. SimulaMet, Norway

7. Oslo Metropolitan University, Norway

Abstract

360 panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate videos arises. In this respect, the attention that 360 panorama video has received lately is huge. Many methods have already been proposed, and in this paper, we shed more light on the different trade-offs in order to save bandwidth while preserving the video quality in the user’s field-of-view (FoV). Using 360 VR content delivered to a Gear VR head-mounted display with a Samsung Galaxy S7 and to a Huawei Q22 set-top-box, we have tested various tiling schemes analyzing the tile layout, the tiling and encoding overheads, mechanisms for faster quality switching beyond the DASH segment boundaries and quality selection configurations. In this paper, we present an efficient end-to-end design and real-world implementation of such a 360 streaming system. Furthermore, in addition to researching an on-demand system, we also go beyond the existing on-demand solutions and present a live streaming system which strikes a trade-off between bandwidth usage and the video quality in the user’s FoV. We have created an architecture that combines RTP and DASH, and our system multiplexes a single HEVC hardware decoder to provide faster quality switching than at the traditional GOP boundaries. We demonstrate the performance and illustrate the trade-offs through real-world experiments where we can report comparable bandwidth savings to existing on-demand approaches, but with faster quality switches when the FoV changes.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Linguistics and Language,Information Systems,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. OJUMP: Optimization for joint unicast‐multicast panoramic VR live streaming system;Transactions on Emerging Telecommunications Technologies;2023-12-21

2. DRL-based transmission control for QoE guaranteed transmission efficiency optimization in tile-based panoramic video streaming;Multimedia Systems;2023-06-30

3. TVSR‐OR: Tile‐based 360‐degree video streaming over real time streaming protocol with optimized read;Transactions on Emerging Telecommunications Technologies;2023-03-28

4. View-Adaptive Streaming of Point Cloud Scenes through combined Decomposition and Video-based Coding;Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis;2022-10-10

5. A New Architecture of 8K VR FOV Video End-to-End Technology;2022 International Wireless Communications and Mobile Computing (IWCMC);2022-05-30

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