Point Cloud Coding Conformance Definition for Flexible GPU Decode
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a lack of definition for how the Point Cloud Coding (PCC) draft standard should define interoperability signaling and conformance points, which hinders the ecosystem specification of PCC products and flexible video decode and GPU capability.
Innovation Solution
A novel technique is proposed to define interoperability signaling and conformance points for the PCC standard, allowing for flexible video decode and GPU capability by specifying quality and performance levels of PCC products, decoupling video decode capability from point cloud reconstructing capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the PCC standard defines interoperability signaling and conformance points, then ecosystem specification of PCC products is improved, but device complexity increases
Solution Approach 1:
The patent segments the PCC standard definition into distinct conformance points and interoperability signaling levels. By dividing the standard into manageable segments (e.g., different quality levels, performance tiers, and conformance categories), the ecosystem can specify products with clear, modular requirements rather than facing a monolithic complex standard.
Solution Approach 2:
The patent introduces parameter-based conformance levels that allow implementations to be defined by specific parameters (quality, performance, capability tiers). This enables ecosystem participants to select and specify conformance based on parameter thresholds rather than navigating complex qualitative standard definitions.
2Ease of manufacture
If video decode capability is coupled with point cloud reconstructing capability, then implementation simplicity is improved, but adaptability deteriorates
Solution Approach 1:
The patent separates video decode capability from point cloud reconstructing capability into distinct functional segments. This allows implementations to selectively enable only the capabilities they need (e.g., video decode alone, or point cloud reconstruction alone, or both), rather than requiring all implementations to have the full coupled capability set.
Solution Approach 2:
The patent creates a universal framework where the PCC standard can accommodate multiple capability combinations through defined conformance points. Different GPU and video decode implementations can conform to the standard with different capability sets, allowing the standard to be universal while implementations remain specialized and simple.
Data Source
AI summary
A mechanism is described for facilitating defining of interoperability signaling and conformance points for the PCC standard in computing environments. A computing device of embodiments, as described herein, includes a decoder to decode a compressed bitstream of video data representing a point cloud, point cloud reconstructor circuitry to reconstruct a point cloud from the decoded patch video data, a syntax element parser to receive at least one syntax element representing interoperability signaling in the compressed bitstream to indicate the number of points in one or more pictures of the video data, and processing hardware to determine if the number of points in the one or more pictures of the compressed bitstream is within the conformance limits of the point cloud reconstructor circuitry.