| |
| Table 4.1-1 | Summary of Beyond 2D Video Formats |
| Figure 4.2.1-1 | Beyond 2D Video end-to-end reference model |
| Table 4.3.2.1-1 | Video Signal Parameters for 3GPP Stereoscopic 3D Cinema format |
| Table 4.3.2.6-1 | Uncompressed data rate examples |
| Table 4.3.3.1-1 | Typical Characteristics of Point Clouds in MPEG-Defined Use Cases |
| Figure 4.3.3.3-1 | Vox 10 MPEG renderer |
| Figure 4.3.3.3-2 | Vox 10 Representative renderer |
| Table 4.3.3.4.2-1 | Uncompressed data size and bitrate |
| Table 4.3.4.1-1 | Multi-view video component and metadata |
| Figure 4.3.4.2-1 | Example processing flow |
| Table 4.3.5.1-1 | Typical Characteristics of Meshes in MPEG-Defined Use Cases |
| Figure 4.3.5.4.5.1-1 | Point-based method for mesh evaluation |
| Figure 4.3.5.4.5.1-2 | Image-based method for mesh evaluation |
| Figure 4.3.6.2-1(a) | 7D plenoptic function |
| Figure 4.3.6.2-1(b) | 4D plenoptic function |
| Figure 4.3.6.2-2 | reflectance field |
| Table 4.3.6.2.1-1 | Existing lightfield technologies and their properties |
| Figure 4.3.6.3.2-1 | 3D Gaussian Splatting (3DGS) representation |
| Table 4.3.6.3.2-1 | Existing 3D Gaussian Splatting (3DGS) representation Formats |
| Figure 4.3.6.3.2-2 | Structure from Motion (SfM) photogrammetric principle |
| Table 4.3.6.3.6-1 | Mapping of GS attributes to glTF primitive attributes via MPEG-SD-GS extension |
| Figure 4.4.1-1 | Workflow for AI-generated beyond 2D content |
| Figure 4.4.2-1 | Pipelines for image-based Dynamic Mesh generation |
| Table 5.2-1 | Summary of Operation Points |
| Table 5.3-1 | High-level Summary of Operation Points |
| Table 5.3-2 | Video Media Profiles |
| Figure 6.1-1 | B2D Evaluation framework |
| Figure 7.2.2.2-1 | Camera Rig for stereoscopic video capture (AI generated Image) |
| Figure 7.2.2.2-2 | Pipeline for 2D-to-Stereo3D Conversion |
| Table 7.2.3-1 | UE-to-UE Stereoscopic Video Live Streaming Source Properties |
| Table 7.2.4-1 | Encoding and Decoding Constraints |
| Figure 7.2.5.1-1 | HV3D Flowchart |
| Table 7.2.5.1.4-1 | Weighting Constants |
| Figure 7.2.5.2-1 | Example of AI-generated stereoscopic video |
| Figure 7.2.5.2-2 | Example of Edge detection in depth maps |
| Figure 7.2.5.2-3 | Example of segmentation mask |
| Table 7.2.7.1.1-1 | Test material datasets |
| Table 7.2.7.1.3-1 | Specification of Capturing Device |
| Figure 7.3.3-1 | Streaming of professionally produced Volumetric Video with single asset containing people (content courtesy XD Productions) |
| Figure 7.3.3-2 | XD Productions capture rig (https://www.xdprod.com/services/studio/studio-virtuel/) |
| Figure 7.3.3-3 | XD Production real time virtual production (https://www.xdprod.com/services/studio/studio-virtuel/) |
| Figure 7.3.3-4 | XD Productions contents screenshots, from top right to left: Acrobat01, Soccer Blue, Soccer Red, Dancer01 and Acrobat Duo |
| Figure 7.3.3-5 | V-DMC Workflow |
| Figure 7.3.3-6 | V-PCC encoder main steps (Content courtesy 8i) |
| Figure 7.3.3-7 | V-DMC encoder main steps |
| Figure 7.3.3-8 | V-PCC decoder main steps |
| Table 7.3.4-1 | Signal properties for dense point cloud format |
| Table 7.3.4-2 | Signal properties for dynamic mesh format |
| Figure 7.3.4.3-1 | Impact of background on perceived quality (content courtesy RenderPeople) |
| Figure 7.3.4.5.1-1 | Vox 12 with 9.5M points per frame (content courtesy by Volucap) |
| Figure 7.3.4.5.1-2 | Vox 11 with 2.3M points per frame (content courtesy by Volucap) |
| Figure 7.3.4.5.1-3 | Vox 10 with 600K points per frame (content courtesy by Volucap) |
| Figure 7.3.4.5.2-1 | Vox 12 with 9.5M points per frame (content courtesy by Volucap) |
| Figure 7.3.4.5.2-2 | Vox 11 with 2.3M points per frame (content courtesy by Volucap) |
| Figure 7.3.4.5.2-3 | Vox 10 with 600K points per frame (content courtesy by Volucap) |
| Table 7.3.5-1 | Encoding and decoding constraints |
| Figure 7.3.6.2-1 | Test architecture for objective test |
| Table 7.3.8.2-1 | Selected source point cloud sequences |
| Figure 7.3.8.2-1 | Aliya, Henry, Nathalie, Mitch and Juggle Soccer (content courtesy by Renderpeople, Volucap and XD Productions) |
| Figure 7.4.2-1 | On-demand streaming of B2D produced content to a UE |
| Figure 7.4.2-2 | MIV encoder example |
| Table 7.4.7-1 | Test sequences for the evaluation of the scenario |
| Table 9.2.5-1 | Evaluation Results with Simulcast HEVC and MV-HEVC for Scenario 1 |
| Table 9.2.5-2 | BD-rate reduction of MV-HEVC relative to Simulcast HEVC for Scenario 1 |
| Figure 9.3.4.1.5.1.1-1 | D1 and D2 metrics |
| Figure 9.3.4.1.5.1.1-2 | Cb and Cr metrics |
| Figure 9.3.4.1.5.1.1-3 | Luma metric |
| Figure 9.3.4.1.5.1.1-4 | PCQM metric |
| Figure 9.3.4.1.5.1.2-1 | D1 and D2 metrics |
| Figure 9.3.4.1.5.1.2-2 | Cb and Cr metrics |
| Figure 9.3.4.1.5.1.2-3 | Luma metric |
| Figure 9.3.4.1.5.1.2-4 | PCQM metric |
| Figure 9.3.4.1.5.1.3-1 | D1 and D2 metrics |
| Figure 9.3.4.1.5.1.3-2 | Cb and Cr metrics |
| Figure 9.3.4.1.5.1.3-3 | Luma metric |
| Figure 9.3.4.1.5.1.3-4 | PCQM metric |
| Figure 9.3.4.1.5.1.4-1 | D1 and D2 metrics |
| Figure 9.3.4.1.5.1.4-2 | Cb and Cr metrics |
| Figure 9.3.4.1.5.1.4-3 | Luma metric |
| Figure 9.3.4.1.5.1.4-4 | PCQM metric |
| Figure 9.3.4.1.5.1.5-1 | D1 and D2 metrics |
| Figure 9.3.4.1.5.1.5-2 | Cb and Cr metrics |
| Figure 9.3.4.1.5.1.5-3 | Luma metric |
| Figure 9.3.4.1.5.1.5-4 | PCQM metric |
| Table 9.4.4.1.2-1 | Software used for the evaluation of the scenario |
| Table 9.4.4.1.3-1 | Encoder conditions |
| Table 9.4.4.1.3-2 | QP values for all sequences and encoder conditions |
| Figure 9.4.4.1.5.1-1 | Video components of condition A with left to right: texture for atlas 0 and 1, geometry for atlas 0 and 1 |
| Figure 9.4.4.1.5.1-2 | Video components of condition SCV with left texture and right geometry |
| Table 9.4.4.1.5.2-1 | Pixel rates for all sequences and conditions |
| Figure 9.4.4.1.5.3-1 | Rate distortion curves for Breakfast for all three coding conditions |
| Figure 9.4.4.1.5.3-2 | Rate distortion curves for Bartender for all three coding conditions |
| Figure 9.4.4.1.5.3-3 | Rate distortion curves for DanceMoves for all three coding conditions |
| Figure C.2.2.1-1 | Juggle Soccer - content courtesy XD Productions |
| Table C.2.2.2-1 | Juggle Soccer sequence properties dense dynamic point cloud |
| Table C.2.2.2-2 | Juggle Soccer sequence properties dynamic mesh |
| Figure C.2.3.1-1 | Mitch - content courtesy Volucap |
| Table C.2.3.2-1 | Mitch sequence properties dense dynamic point cloud |
| Table C.2.3.2-2 | Mitch sequence properties dynamic mesh |
| Figure C.2.4.1-1 | Thomas - content courtesy Volucap |
| Table C.2.4.2-1 | Thomas sequence properties dynamic mesh |
| Figure C.2.5.1-1 | Nathalie - content courtesy Volucap |
| Table C.2.5.2-1 | Nathalie sequence properties dense dynamic point cloud |
| Table C.2.5.2-2 | Nathalie sequence properties dynamic mesh |
| Figure C.2.6.1-1 | Steam Roller - content courtesy Volucap |
| Table C.2.6.2-1 | Steam Roller sequence properties dynamic mesh |
| Figure C.2.7.1-1 | DancingAliyah - content courtesy Renderpeople |
| Table C.2.7.2-1 | Aliyah sequence dense dynamic point cloud |
| Table C.2.7.2-2 | Aliyah sequence properties dynamic mesh |
| Figure C.2.8.1-1 | Henry - content courtesy Renderpeople |
| Table C.2.8.2-1 | Henry sequence properties dense dynamic point cloud |
| Table C.2.8.2-2 | Henry sequence properties dynamic mesh |
| Table C.2.9.2-1 | UWG sequences properties dynamic point cloud |
| Figure C.2.10.1-1 | basketball_player and dancer - Owlii Inc |
| Table C.2.10.2-1 | Owlii Inc sequences properties dynamic mesh |
| Figure C.2.11.1-1 | levi and Rafa - Vologram Ltd |
| Table C.2.11.2-1 | Vologram Ltd sequences properties dynamic mesh |
| Figure C.2.12.1-1 | Exercise's Sequence |
| Table C.2.12.2-1 | Exercise sequence properties dynamic mesh |
| Figure C.3.2.1-1 | StreetView - captured |
| Table C.3.2.2-1 | StreetView - captured sequence properties |
| Figure C.3.3.1-1 | Cute Dog - Captured |
| Table C.3.3.2-1 | Cute Dog - Captured sequence properties |
| Figure C.3.4.1-1 | MovingGirl-Captured |
| Table C.3.4.2-1 | MovingGirl-Capture properties |
| Figure C.3.5.1-1 | StreetView - Generated |
| Figure C.3.6.1-1 | Cute Dog - Generated |
| Figure C.3.7.1-1 | Moving Girl - Generated |
| Figure C.4.2.1-1 | Breakfast sequence (view 7, frame 0) |
| Table C.4.2.2-1 | Breakfast sequence properties |
| Figure C.4.3.1-1 | Bartender sequence (view 10, frame 0) |
| Table C.4.3.2-1 | Bartender sequence properties |
| Figure C.4.4.1-1 | DanceMoves sequence (view 3, frame 0) |
| Table C.4.4.2-1 | DanceMoves sequence properties |
| Table D.3.3.1.1-1 | Conversion parameters |
| Table D.3.4.1.1-1 | with QP selection for obtaining the fixed target bitrates |
| Table D.3.5.1-1 | with rendering settings for video generation |
| Figure E.2.1-1 | Remains Crouch End Station - content courtesy artfletch / Sketchfab |
| Figure E.3.1-1 | Great Drawing Room - content courtesy The Hallwyl Museum / Sketchfab |
| Figure E.4.1-1 | Southbank Undercroft Skatepark - content courtesy artfletch / Sketchfab |