Bar-Ilan University researcher proposes H.266/VVC compression mapping for 360-degree video
A researcher from Bar-Ilan University has proposed a Spherical Motion Vector (SMV) mapping method to improve H.266/VVC compression for 360-degree video. By calculating motion vectors in the spherical coordinate system before 2D projection, the method aims to reduce residual data and improve prediction accuracy for immersive media.
Key Takeaways
- Researcher Yair Wiseman proposed Spherical Motion Vector (SMV) mapping to address linear motion failures in 2D projected planes.
- The method performs motion estimation using longitude and latitude coordinates (θ, φ) rather than standard pixel grids (x, y).
- SMV integration occurs at the pre-encoder stage to maintain compatibility with existing H.266/VVC codec architectures.
- The approach targets high-bandwidth applications including 8K immersive media, autonomous vehicles, and virtual reality.
Why It Matters
This technical development addresses a fundamental inefficiency in modern codecs where 2D translational motion models fail to accurately track objects moving across spherical surfaces. By shifting motion estimation to the spherical domain, encoders can significantly reduce the bitrate inflation typically seen near the poles of 360-degree video projections. For the broader streaming ecosystem, this optimization is critical for scaling 8K VR and AR content over existing bandwidth constraints without sacrificing visual fidelity. As immersive media moves into industrial and automotive sectors, watch for whether this pre-encoder SMV mapping is adopted into commercial VVC implementations to lower storage costs for high-resolution omnidirectional feeds.
Additional Context
H.266/VVC is gaining commercial traction across broadcast and streaming ecosystems, though immersive video remains a niche application area. At NAB Show 2025, V-Nova demonstrated MPEG-5 LCEVC alongside VVC for Brazil's DTV+ transition, where the enhancement-layer codec is deployed to extend VVC's reach to legacy hardware. Brazil's presidential decree of August 27, 2025 made DTV+ the world's first next-generation TV standard to formally require an enhancement-layer codec, and Globo's live UHD feed during the Paris 2024 Olympics ran the combined VVC+LCEVC stack at 10 Mbps over the air with controlled lab testing reaching as low as 7.59 Mbps for 4K HDR. These deployments establish VVC as the base-layer codec for next-generation broadcast, creating a foundation upon which spherical video optimizations like SMV mapping could eventually be integrated.
The licensing landscape for VVC continues to shape adoption economics. The Access Advance VVC patent pool, which reached 100 licensors in early 2025, now covers a substantial share of essential patents, though royalty rates remain a point of contention for streaming platforms evaluating VVC against AV2 codec ecosystem. Meanwhile, Fraunhofer HHI released version 3.0 of its VVC Test Model (VTM) reference software in late 2024, incorporating tools for improved screen content coding and subpicture-level parallelism that are relevant to high-resolution immersive workflows. The interplay between patent pool costs and codec efficiency gains directly influences whether streaming operators will invest in VVC-based pipelines capable of supporting 360-degree content at scale.
On the technical side, independent benchmarks confirm VVC's compression advantages for demanding content types. The Fraunhofer HHI team published results showing VVC achieves approximately 50% bitrate savings over HEVC for 4K HDR content at equivalent quality, with gains widening further for 8K sequences. For omnidirectional video specifically, researchers at the University of Klagenfurt demonstrated that viewport-adaptive streaming using VVC subpictures can reduce bandwidth consumption by 30-40% compared to full-frame delivery in head-mounted display scenarios. These findings suggest that combining SMV-style spherical motion estimation with VVC's existing subpicture and tile partitioning tools could yield compounding efficiency gains for VR and AR delivery pipelines, particularly as 8K omnidirectional capture becomes standard in industrial inspection and automotive simulation use cases.
Read full article at mdpi.com
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