Point Cloud Data Transmission Using Octree Segmentation
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Solution Overview
Problem
Existing methods for processing point cloud data face challenges in efficiency, particularly in terms of latency and encoding/decoding complexity, which hinder effective transmission and rendering of high-quality point cloud content for applications like VR and self-driving services.
Innovation Solution
A method and device for encoding and transmitting point cloud data as a bitstream, utilizing geometry-based and video-based compression coding, and employing octree structures for efficient encoding and decoding, allowing for scalable and adaptive compression and reconstruction based on asymmetric point distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If geometry-based compression coding is used, then encoding/decoding complexity is reduced, but compression efficiency deteriorates
Solution Approach 1:
The patent segments the point cloud data into multiple octrees at different depth levels, allowing selective processing. The encoder can process only the necessary octrees based on the bitstream type and processing requirements, reducing overall complexity while maintaining compression efficiency for the processed portions.
Solution Approach 2:
The patent applies different compression strategies to different octrees based on their depth and content characteristics. Deeper octrees with more detailed information receive different processing than shallower octrees, optimizing the balance between compression efficiency and processing complexity for each region.
2Loss of energy
If video-based compression coding is used, then compression efficiency is improved, but encoding/decoding complexity increases
Solution Approach 1:
The patent divides the point cloud into multiple octrees that can be processed independently. The encoder can selectively apply video-based compression to specific octrees based on the bitstream type and processing requirements, achieving high compression efficiency for those regions without unnecessarily processing the entire point cloud.
Solution Approach 2:
The patent allows the encoder to process only the necessary portions of the point cloud data based on the bitstream type and processing requirements. This partial processing approach enables the system to achieve high compression efficiency where needed without incurring the full complexity cost of processing the entire point cloud.
3Speed
If point cloud data is transmitted without compression, then transmission speed is improved, but data size increases
Solution Approach 1:
The patent segments the point cloud data into multiple octrees at different depth levels, allowing the encoder to process and compress only the necessary portions. This segmentation enables selective compression that reduces data size for transmission while maintaining the ability to transmit at high speeds by processing only essential data.
Solution Approach 2:
The patent changes the encoding parameters and compression strength based on the bitstream type and processing requirements. By adjusting these parameters dynamically, the system can optimize the balance between data size reduction and transmission speed for different应用场景.
4Reliability
If high-quality point cloud content is processed, then service quality is improved, but processing time increases
Solution Approach 1:
The patent segments the point cloud data into multiple octrees at different depth levels, enabling selective processing. The encoder can process only the necessary octrees based on the bitstream type and processing requirements, reducing processing time while maintaining high service quality for the processed portions.
Solution Approach 2:
The patent allows the system to process only the necessary portions of the point cloud data based on the bitstream type and processing requirements. This partial processing approach reduces processing time while maintaining adequate service quality for the applications being served.
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 including the point cloud data. A point cloud data reception method according to embodiments may comprise the steps of: receiving a bitstream including point cloud data; and decoding the point cloud data.