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SMPTE Meetings and Conferences ( October 2023)
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Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications.

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Conference Paper
Content Type
Original Research
Volume
2023, No. 10, pp. 14–15
Abstract
Until recently, top-notch gaming and XR/VR experiences required costly hardware with powerful GPUs. Today's cloud-based solutions aim to make these experiences more accessible by rendering the experience in the cloud and then “pixel streaming” - i.e., with one video encoding per each user - the point of view, but doing so hinges on delivering high-quality, ultra-low latency video, so compression efficiency is a core component of these applications. — While traditional codecs like H.264 and HEVC are currently used, they have limitations in cloud gaming and VR/XR scenarios. Newer codecs like AV1 and VVC offer better compression but are computationally heavy and produce lower gains vs HEVC in real-time ultra-low-latency applications. Enter MPEG-5 Part 2 LCEVC, a low-complexity enhancement that improves compression up to 30% when used with existing codecs like HEVC, AV1 or VVC, without adding computational burden and with coding tools that maintain their efficiency also in low-latency scenarios. Compatible with existing devices and codecs like HEVC, AV1, and VVC, LCEVC enables scalable, high-quality pixel streaming within the bandwidth limits necessary for widespread deployment. — This paper provides data on LCEVC's performance in conjunction with HEVC, specifically focusing on its application in ultra-low latency streaming for cloud gaming and VR/XR, where quality and responsiveness are key.
Publication Date
2023-10-16
DOI
10.5594/M002023
ISBN
Print: 978-1-61482-964-5
Link
https://doi.org/10.5594/M002023
Author(s)
Guido MeardiV-Nova Limited
Kevin MockfordV-Nova Limited
Keyword(s)
Cloud Gaming, VR, Extended Reality, MPEG-5 LCEVC, AV1, VVC, HEVC, H.264
Copyright
© 2023 Society of Motion Picture and Television Engineers, Inc.
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Guido Meardi and Kevin Mockford; Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications., SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002023
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Guido Meardi and Kevin Mockford; Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications., SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002023

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Guido Meardi and Kevin Mockford; Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications., SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002023
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<span class="citation">Guido Meardi and Kevin Mockford; <cite>Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications.</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002023" target="_blank" rel="noopener">https://doi.org/10.5594/M002023</a></span>

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Guido Meardi and Kevin Mockford; Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications., SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
doi: 10.5594/M002023
url: https://doi.org/10.5594/M002023
Snippet:
<li>
Guido Meardi and Kevin Mockford; <cite id="bib-10-5594-m002023">Optimized pixel streaming for ultra-low latency cloud gaming and VR/XR applications.</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
<span class="doi">10.5594/M002023</span>
</li>