TY - GEN
T1 - A Comprehensive Long-duration 8K Dataset to Benchmark Hardware Encoding for Live 360° Video Tiled Streaming
AU - Brochu, Olivier
AU - Leivadeas, Aris
AU - Coulombe, Stéphane
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/4/6
Y1 - 2026/4/6
N2 - Streaming 360° video is challenging, as its bandwidth exceeds that of most users. A popular solution to this problem is tiled-based streaming. Live streaming of tiled 360° video requires encoding tiles under strict time constraints. Hardware encoders, such as NVIDIA's NVENC, are used to meet this requirement. However, selecting appropriate encoding parameters for NVENC is difficult because existing benchmarks do not consider tiled-based streaming and evaluate only a subset of the available encoding parameters. In this paper, we benchmark the rate-distortion performance and the encoding speed of NVENC and recommend encoding parameters for live 360° video tiled streaming. Additionally, since we deem unfit existing 360° videos for streaming use cases, we first craft a dataset of twenty long-duration 8K/30 fps stereoscopic 360° videos, provided in both stitched and unstitched formats. Our code and data is available publicly at https://github.com/Tiled360Benchmark/360DatasetAndBenchmark.
AB - Streaming 360° video is challenging, as its bandwidth exceeds that of most users. A popular solution to this problem is tiled-based streaming. Live streaming of tiled 360° video requires encoding tiles under strict time constraints. Hardware encoders, such as NVIDIA's NVENC, are used to meet this requirement. However, selecting appropriate encoding parameters for NVENC is difficult because existing benchmarks do not consider tiled-based streaming and evaluate only a subset of the available encoding parameters. In this paper, we benchmark the rate-distortion performance and the encoding speed of NVENC and recommend encoding parameters for live 360° video tiled streaming. Additionally, since we deem unfit existing 360° videos for streaming use cases, we first craft a dataset of twenty long-duration 8K/30 fps stereoscopic 360° videos, provided in both stitched and unstitched formats. Our code and data is available publicly at https://github.com/Tiled360Benchmark/360DatasetAndBenchmark.
KW - 360° video
KW - dataset
KW - hardware encoding
KW - live streaming
KW - tile-based streaming
UR - https://www.scopus.com/pages/publications/105036670440
U2 - 10.1145/3793853.3799804
DO - 10.1145/3793853.3799804
M3 - Contribution to conference proceedings
AN - SCOPUS:105036670440
T3 - MMSys 2026 - Proceedings of the 2026 ACM Multimedia System Conference
SP - 388
EP - 394
BT - MMSys 2026 - Proceedings of the 2026 ACM Multimedia System Conference
PB - Association for Computing Machinery, Inc
T2 - 2026 ACM Multimedia System Conference, MMSys 2026
Y2 - 4 April 2026 through 8 April 2026
ER -