Geometry Point Cloud Coding With Logarithmic Coefficients
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Solution Overview
Problem
Existing geometry-based point cloud compression (G-PCC) standards face challenges in handling a wide range of inputs for various applications due to complex syntax element representation and organization, leading to increased processing complexity and inefficiency.
Innovation Solution
A novel approach for point cloud coding that includes identifying and encoding/decoding transform coefficients using a logarithmic format for memory optimization, and employing single-loop and multi-loop processes based on zero-run lengths to simplify syntax element representation and organization, compatible with G-PCC standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex syntax element representation and organization is used in existing G-PCC standards, then the ability to handle various applications is improved, but processing complexity increases
Solution Approach 1:
The patent segments the syntax element representation into multiple categories (geometry parameters, attribute parameters, transform parameters, quantization parameters) and organizes them into separate data structures. This segmentation allows the system to handle various applications through selective parameter combinations while reducing overall processing complexity by treating each category independently.
Solution Approach 2:
The patent introduces a hierarchical dimension to the syntax element organization, structuring parameters across multiple levels (sequence level, slice level, tile level, block level). This dimensional organization enables flexible handling of different applications through hierarchical parameter inheritance while simplifying processing at each level through standardized data structures.
2Quantity of substance
If traditional linear format is used for transform coefficients, then simplicity is maintained, but memory usage increases
Solution Approach 1:
The patent changes the representation parameter of transform coefficients from linear format to logarithmic format. This parameter change compresses the dynamic range of coefficient values, significantly reducing memory usage while maintaining the ability to represent both small and large coefficient magnitudes with appropriate precision.
Solution Approach 2:
The patent implements dynamic parameter selection where the logarithmic base and precision can be adjusted based on the specific application requirements and coefficient distribution characteristics. This dynamic approach optimizes memory usage for different scenarios while adapting the complexity level to match the actual data characteristics.
3Measurement precision
If multiple loops are used for zero-run length encoding, then precision is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by using a single-loop approach that processes zero-run lengths up to a predefined threshold with full precision, while using alternative encoding methods for longer zero-runs. This partial precision approach maintains sufficient accuracy for most practical cases while significantly improving processing speed by avoiding multiple nested loops.
Solution Approach 2:
The patent implements periodic action through a hybrid encoding scheme that switches between different encoding methods based on zero-run length thresholds. The single-loop process handles common cases efficiently, while periodic alternative methods handle edge cases, optimizing the balance between precision and processing speed across different operating conditions.
Data Source
AI summary
According to one aspect of the present disclosure, a method for decoding a point cloud that is represented in a one-dimension (ID) array that includes a set of points is provided. The method may include identifying, by at least one processor, a maximum number of transform coefficients used to predict an attribute value of a point in the set of points. The method may include decoding, by the at least one processor, a bitstream to identify the maximum number of transform coefficients based on a logarithmic format minus a fixed integer.