Point Cloud Attribute Prediction Using Geometry-Based Parallel Coding
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Solution Overview
Problem
The existing point cloud encoding methods decouple the determination process of the prediction mode from the reconstruction process of attribute information, leading to reduced efficiency in encoding and decoding point cloud data.
Innovation Solution
The prediction mode of attribute information is determined based on geometric information of a point cloud, allowing the processes of determining the prediction mode and reconstructing attribute information to be performed in parallel, thereby improving encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the determination process of prediction mode is decoupled from the reconstruction process of attribute information, then the encoding and decoding efficiency is improved, but the prediction accuracy is reduced
Solution Approach 1:
The patent applies preliminary action by determining the prediction mode in advance based on geometric information before the attribute information reconstruction process. This allows the prediction mode determination and attribute reconstruction to proceed in parallel, improving efficiency while maintaining accuracy through pre-planned prediction strategies
Solution Approach 2:
The patent segments the encoding process into independent modules: geometric information processing, prediction mode determination, and attribute information reconstruction. This modular segmentation allows parallel execution of determination and reconstruction processes while maintaining their functional integrity and accuracy
2Measurement precision
If the prediction mode is determined based on reconstructed values of attribute information of adjacent points, then the prediction accuracy is improved, but the encoding and decoding efficiency is reduced
Solution Approach 1:
The patent performs prediction mode determination in advance using geometric information before attribute reconstruction, allowing parallel processing. This preliminary action maintains prediction accuracy by establishing the mode beforehand while improving efficiency through eliminated sequential dependencies
Solution Approach 2:
The patent introduces geometric information as an intermediary that enables prediction mode determination without requiring reconstructed attribute values. This intermediary allows the determination process to proceed independently and in parallel with reconstruction, resolving the efficiency-accuracy trade-off
Data Source
AI summary
The present disclosure provides a point cloud encoding method and system, a point cloud decoding method and system, a point cloud encoder, and a point cloud decoder. A prediction mode of attribute information of a current point is determined through geometric information of a point in a point cloud, so that a determination process of the prediction mode is decoupled from a reconstruction process of the attribute information of the point in the point cloud, the two processes can be performed in parallel, and thus the efficiency of encoding and decoding is improved.