Point Cloud Bitstream Delivery with Octree-Level Hybrid Compression
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Solution Overview
Problem
Existing technologies face challenges in efficiently processing large amounts of point cloud data required for virtual reality, augmented reality, and self-driving services due to high latency and encoding/decoding complexity.
Innovation Solution
A method and device for processing point cloud data using geometry-based and video-based compression techniques, including geometry-based point cloud compression (G-PCC) and video-based point cloud compression (V-PCC), along with encoding and decoding processes to manage and transmit point cloud data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If geometry-based point cloud compression (G-PCC) is used to compress point cloud data, then encoding/decoding complexity is reduced, but compression efficiency deteriorates
Solution Approach 1:
The patent segments the point cloud data into multiple octree levels based on spatial hierarchy. Different octree levels are processed and transmitted separately, allowing the receiver to reconstruct point cloud content at varying detail levels. This segmentation enables the system to achieve good compression efficiency by transmitting only necessary detail levels while keeping the decoding process manageable through structured hierarchical processing.
2Loss of energy
If video-based point cloud compression (V-PCC) is used to compress point cloud data, then compression efficiency is improved, but encoding/decoding complexity increases
Solution Approach 1:
The patent creates a unified transmission device that can handle both geometry-based and video-based compression methods within the same system architecture. The device includes multiple encoders that can process point cloud data using different compression techniques, making the system versatile and adaptable to different application requirements while maintaining consistent interface and processing workflows.
3Reliability
If high-quality point cloud services are provided with reduced latency, then service quality is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing point cloud data into octree structures and preparing compression parameters before actual transmission occurs. The transmission device includes pre-configured encoders and parameter settings that enable rapid processing during transmission, reducing real-time processing delays while maintaining high service quality through pre-established processing pipelines.
Data Source
AI summary
A point cloud data transmission method according to embodiments may comprise the steps of: encoding point cloud data; and transmitting a bitstream containing the point cloud data. In addition, a point cloud data transmission device according to embodiments may comprise: an encoder for encoding point cloud data; and a transmitter for transmitting a bitstream containing the point cloud data.