Brochu, Olivier, Leivadeas, Aris et Coulombe, Stéphane.
2026.
« A comprehensive long-duration 8k dataset to benchmark hardware encoding for live 360° video tiled streaming ».
In MMSys '26: Proceedings of the ACM Multimedia Systems Conference 2026 (Hong Kong, China, Apr. 04-08, 2026)
388–394.
Association for Computing Machinery.
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Résumé
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.
| Type de document: | Compte rendu de conférence |
|---|---|
| Chercheur(-euse): | Chercheur(-euse) Leivadeas, Aris Coulombe, Stéphane |
| Affiliation: | Génie logiciel et des technologies de l'information, Génie logiciel et des technologies de l'information |
| Date de dépôt: | 17 avr. 2026 20:35 |
| Dernière modification: | 22 avr. 2026 17:19 |
| URI: | https://espace2.etsmtl.ca/id/eprint/33600 |
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