Point Cloud Coding Parameter Grouping for Bitstream Efficiency
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Solution Overview
Problem
Current point cloud coding techniques are inefficient in coding and encapsulating coding parameters, leading to redundant data transmission and increased bit usage due to repeated encoding of unchanged sequence and group-level parameters across frames and groups of frames.
Innovation Solution
The proposed method groups and signals sequence-level and group-level parameters together in type-length-value units or sequence configuration boxes, absent from individual sample information units, allowing for efficient encoding and decoding by avoiding redundant parameter transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If parameter values are transmitted for each sample of the point cloud sequence, then coding completeness is ensured, but coding bit usage increases due to redundancy
Solution Approach 1:
The patent merges parameter values that are common across multiple samples into a single transmission instance. Instead of repeating the same parameter values for each sample, the encoder transmits the parameter once and applies it to multiple samples during decoding, thereby reducing redundant bit transmission while maintaining complete coding information.
Solution Approach 2:
The patent uses a copying mechanism where transmitted parameter values are replicated and applied to multiple samples during the decoding process. The decoder receives the parameter once and automatically copies it to the appropriate sample locations, eliminating the need to transmit the same parameter multiple times while ensuring all samples have the necessary coding information.
2Ease of manufacture
If conventional point cloud coding techniques are used, then implementation simplicity is maintained, but coding efficiency deteriorates due to redundant parameter transmission
Solution Approach 1:
The patent segments the coding process into distinct stages: parameter identification, parameter grouping, selective transmission, and application to samples. This segmentation allows the system to efficiently identify which parameters need to be transmitted and apply them appropriately, improving coding efficiency without significantly complicating the overall implementation.
Solution Approach 2:
The patent changes the parameter transmission strategy from a fixed per-sample approach to a dynamic approach where parameters are transmitted only when necessary and only for the specific samples they apply to. This parameter change in the transmission methodology significantly improves coding efficiency by eliminating redundant transmissions while maintaining implementation feasibility.
Data Source
AI summary
Embodiments of the present disclosure provide a method for point cloud coding. The method comprises: determining, during a conversion between a point cloud sequence and a bitstream of the point cloud sequence, an information unit for a current sample of the point cloud sequence and at least one parameter value, the information unit being obtained by coding the current sample with the at least one parameter value, the at least one parameter value being absent from the information unit; and performing the conversion based on the information unit and the at least one parameter value. Compared with the conventional solution, the proposed method can advantageously improve coding efficiency.