G-PCC Parameter Set Signaling for Efficient Point Cloud Grouping
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Solution Overview
Problem
Existing video coding systems, including wavelet-based, object-based, and block-based systems, are inefficient for representing and compressing point cloud data.
Innovation Solution
A system for signaling parameter sets in geometry-based point cloud streams using ISOBMFF files, which include geometry-based point cloud compression (G-PCC) data with sample group description information and sample to group box information, allowing devices to group G-PCC samples based on parameter set changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video coding systems (wavelet-based, object-based, block-based) are used for point cloud data, then the systems can process video signals, but the representation and compression efficiency is poor
Solution Approach 1:
The patent changes the fundamental parameters of how point cloud data is organized and signaled. It introduces geometry-based grouping parameters (grouping type, sample group description index) that reorganize the data structure from traditional frame-based to geometry-based clusters, enabling efficient compression while maintaining representation accuracy
Solution Approach 2:
The patent segments point cloud samples into multiple groups based on their geometric positions and parameter set characteristics. Each sample group is associated with specific parameter set information, allowing differential compression strategies for different spatial regions while improving overall compression efficiency
2Productivity
If parameter set information changes are detected from first time to second time, then compression efficiency can be improved by grouping samples, but the complexity of tracking and managing parameter changes increases
Solution Approach 1:
The patent performs preliminary organization of point cloud samples into groups based on their geometric positions before compression. Sample group descriptions are pre-computed and stored, allowing the decoder to efficiently retrieve and apply the correct parameter sets without complex real-time tracking operations
Solution Approach 2:
The patent introduces sample group description entries as intermediary structures that bridge the point cloud samples and parameter set information. These entries act as indexes or mediators that simplify the relationship between samples and their corresponding parameter sets, reducing the complexity of tracking parameter changes over time
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed for signaling parameter sets for geometry-based point cloud streams. In example, a device may receive an international organization for standardization base media file format (ISOBMFF) file. The ISOBMFF file may include geometry-based point cloud compression (G-PCC) data that is carried using one or more tracks with sample group description information and sample to group box information. The sample group description information may indicate grouping type information and a plurality of sample group description entries indicating geometry-based volumetric or point cloud parameter set information. The sample to group box information may include one or more sample to group box entries, each with a plurality of entry parameters comprising: the grouping type information, a grouping type parameter, and a sample group description index.