MV-HEVC: How to Optimize Compression of Immersive 3D Content

Metadata

Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 134, No. 6, pp. 34–42
Abstract: Multi-view High Efficiency Video Coding (MV-HEVC) is an HEVC extension focused on efficiently coding spatially related images, such as left eye and right eye views of 3D stereoscopic content. MV-HEVC was released in the second version of HEVC back in October 2014. 1 MV-HEVC was created alongside another extension named SHVC, which has been employed in ATSC 3.0 use cases since 2018. 2 The two extensions share many fundamentals, codified in an annex for common specifications for multilayer extensions. Their base principle is scalability: A traditional HEVC decoder can rely on the base layer only, hence providing backward compatibility; however, a more elaborate decoder can use the second layer as well to improve the rendition. The MV-HEVC format gained widespread attention with Apple's announcement of support for 3D movies on the Apple Vision Pro at WWDC 23. 3, 4 Apple provided public guidelines on stereo video encodinq, 5 packaging, 6 and streaming, 7 as well as on providing parallax information to improve caption placement. 8 This presentation will describe the MV-HEVC standard and how it works in theory. An implementation of MV-HEVC 9 will also be studied to evaluate its performance in practical industrial settings. Deployment aspects such as packaging and captioning will be discussed. Finally, 3D-specific optimization strategies will be analyzed, including software architecture and rate control.
Publication Date: 2025-10-01
DOI: 10.5594/JMI.2025/SACY7493
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2025/SACY7493
Author(s): Thomas Guionnet
Khaled Jerbi
Thomas Burnichon
Mickael Raulet
Scott Labrozzi
Yuanyi Xue
Keyword(s): MV-HEVC, Apple Vision Pro, 3D Stereoscopic Video, 3D Video Transport, 3D Video Streaming
Copyright: © 2025 SMPTE

Bibliographic Reference(s)

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Thomas Guionnet, Khaled Jerbi, Thomas Burnichon, Mickael Raulet, Scott Labrozzi, and Yuanyi Xue; MV-HEVC: How to Optimize Compression of Immersive 3D Content, MIJ 2025, Volume 134, Number 6 (pp. 34 to 42); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/SACY7493

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Thomas Guionnet, Khaled Jerbi, Thomas Burnichon, Mickael Raulet, Scott Labrozzi, and Yuanyi Xue; MV-HEVC: How to Optimize Compression of Immersive 3D Content, MIJ 2025, Volume 134, Number 6 (pp. 34 to 42); SMPTE, 2025. Available at https://doi.org/10.5594/JMI.2025/SACY7493

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<span class="citation">Thomas Guionnet, Khaled Jerbi, Thomas Burnichon, Mickael Raulet, Scott Labrozzi, and Yuanyi Xue; <cite>MV-HEVC: How to Optimize Compression of Immersive 3D Content</cite>, MIJ 2025, Volume 134, Number 6 (pp. 34 to 42); SMPTE, 2025. Available at <a href="https://doi.org/10.5594/JMI.2025/SACY7493" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2025/SACY7493</a></span>

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Thomas Guionnet, Khaled Jerbi, Thomas Burnichon, Mickael Raulet, Scott Labrozzi, and Yuanyi Xue; MV-HEVC: How to Optimize Compression of Immersive 3D Content, MIJ 2025, Volume 134, Number 6 (pp. 34 to 42); SMPTE, 2025
doi: 10.5594/JMI.2025/SACY7493
url: https://doi.org/10.5594/JMI.2025/SACY7493

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Thomas Guionnet, Khaled Jerbi, Thomas Burnichon, Mickael Raulet, Scott Labrozzi, and Yuanyi Xue; <cite id="bib-10-5594-jmi-2025-sacy7493">MV-HEVC: How to Optimize Compression of Immersive 3D Content</cite>, MIJ 2025, Volume 134, Number 6 (pp. 34 to 42); SMPTE, 2025
<span class="doi">10.5594/JMI.2025/SACY7493</span>
</li>