2D Spatial Relationship Specification for 3D Video Tile Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video coding techniques fail to efficiently process and deliver 3D spherical content, leading to high computational and bandwidth requirements, as they often transmit the entire sphere regardless of the user's viewport, resulting in suboptimal user experience due to limited network resources.
Innovation Solution
The method involves specifying 2D spatial relationships using a 2D Cartesian coordinate system to determine the spatial relationship of tracks within a track group, allowing for viewport-dependent processing and efficient delivery of only the content relevant to the user's current viewport, by generating source data based on constraints such as track positions, dimensions, and layer values within the 2D region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the entire spherical content is processed and delivered, then the user can view content at any viewport, but the computational and bandwidth requirements become excessively high
Solution Approach 1:
The spherical content is divided into multiple 2D regions or tiles that can be independently processed and delivered. Each region corresponds to a specific viewport area, allowing the system to selectively transmit only the necessary segments rather than the entire spherical content, thereby reducing bandwidth and computational requirements while maintaining viewport flexibility
Solution Approach 2:
The system dynamically determines which 2D regions to deliver based on the user's current viewport. By adapting the delivered content to match the actual viewing area in real-time, the system maintains full viewport flexibility while minimizing the amount of data that needs to be processed and transmitted
2Loss of energy
If viewport-dependent processing is implemented to reduce bandwidth, then network efficiency improves, but the system complexity increases
Solution Approach 1:
The patent introduces a 2D Cartesian coordinate system to represent spatial relationships on the spherical surface. This dimensional transformation allows complex 3D spherical coordinates to be simplified into 2D region definitions, making viewport-dependent processing more manageable and reducing system complexity while maintaining bandwidth efficiency
3Productivity
If 2D spatial relationships are specified using Cartesian coordinates, then the delivery efficiency improves, but the precision in representing spherical geometry may be compromised
Solution Approach 1:
The spherical surface is segmented into multiple small 2D regions that can be accurately represented using Cartesian coordinates. By dividing the sphere into manageable tiles, each with limited spatial extent, the approximation error introduced by using 2D Cartesian geometry is minimized while still achieving efficient content delivery
Solution Approach 2:
The system changes the coordinate representation parameters by using 2D Cartesian coordinates for each regional tile rather than global spherical coordinates. This parameter change simplifies the mathematical operations required for content delivery while maintaining sufficient geometric accuracy through appropriate region sizing and segmentation
Data Source
AI summary
The techniques described herein relate to methods, apparatus, and computer readable media configured to specify two-dimensional spatial relationship information. Video data includes a track group type for a group of two-dimensional tracks. The track group type is a two-dimensional spatial relationship track group type, wherein a spatial relationship of the group of tracks is specified based on a two-dimensional Cartesian coordinate system. Two-dimensional spatial relationship description data for the group of tracks, can specify a two-dimensional region based on the two-dimensional Cartesian coordinate system, and a relation of each two-dimensional track in the group of two-dimensional tracks to the two-dimensional region. Source data for the two-dimensional region can be generated by composing each two-dimensional track from the group of tracks based on the associated relation of the two-dimensional track to the two-dimensional region.