Point Cloud Geometry Coding with Flexible Bitrate Control
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Solution Overview
Problem
Existing methods for coding point cloud data lack flexibility in controlling the coding amount, leading to a decrease in precision and an increase in coding errors.
Innovation Solution
An information processing apparatus and method that form a reference structure for geometry data, correct the data to reduce coding amount, derive predictive residuals based on the reference structure, and code these residuals to achieve finer control over coding amount.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If quantization is used to control coding amount, then coding amount can be controlled by changing quantization step, but degree of flexibility in controlling coding amount decreases
Solution Approach 1:
The patent segments the coding process into multiple stages: reference structure formation, geometry data correction, predictive residual derivation, and coding. By dividing the control mechanism into discrete steps with different control parameters (quantization step, correction strength, residual threshold), the system achieves finer granularity in coding amount control, overcoming the coarse control limitation of traditional single-stage quantization.
Solution Approach 2:
The patent introduces dynamic adjustment mechanisms where control parameters can be modified at different stages of the coding process. The reference structure formation unit creates an initial framework, the correction unit adjusts geometry data based on feedback, and the residual derivation unit adapts to changing conditions. This multi-stage dynamic control enables continuous adjustment of coding amount with high flexibility, replacing the static single-step quantization approach.
2Quantity of substance
If coding amount is reduced through quantization, then information amount of point cloud data decreases, but precision and coding errors increase
Solution Approach 1:
The patent applies preliminary action by forming a reference structure before actual coding operations. This reference structure serves as a pre-computed framework that guides subsequent geometry data correction and predictive residual derivation. By preparing this structural foundation in advance, the system can achieve efficient coding with reduced amount while maintaining precision through the guided correction process, avoiding the precision loss typically associated with aggressive quantization.
Solution Approach 2:
The patent implements feedback mechanisms where the coding process continuously monitors and adjusts its operations. The correction unit uses feedback from the reference structure to refine geometry data, and the residual derivation unit provides feedback on coding efficiency. This closed-loop control enables the system to reduce coding amount while maintaining precision by making real-time adjustments, preventing the accumulation of coding errors that occur in open-loop quantization systems.
Data Source
AI summary
The present disclosure relates to an information processing apparatus and method capable of reducing a decrease in flexibility in controlling an amount of coding point cloud data. There are formed a reference structure of geometry data in coding of a point cloud that represents a three-dimensional object as a set of points, corrected the geometry data so that a coding amount decreases, derived, on the basis of the formed reference structure, a predicted value of the corrected geometry data, derived a predictive residual that is a difference between the geometry data and the predicted value, and coded the derived predictive residual. The present disclosure can be applied to, for example, an information processing apparatus, an image processing apparatus, a coding apparatus, an electronic device, an information processing method, a program, or the like.