Point Cloud Bitstream Segmentation for Low-Latency Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in efficiently processing large amounts of point cloud data due to latency and encoding/decoding complexity, which hinders high-quality delivery of services such as VR and self-driving applications.
Innovation Solution
A method and apparatus for encoding and transmitting point cloud data as a bitstream, followed by decoding and rendering, utilizing geometry-based and video-based compression techniques to optimize data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If point cloud data is transmitted with high quality, then service quality improves, but latency increases and encoding/decoding complexity increases
Solution Approach 1:
The point cloud data is divided into multiple octrees, and each octree is further divided into multiple sub-octrees. This segmentation allows parallel processing of different sub-octrees, reducing overall encoding and decoding latency while maintaining high service quality through comprehensive data representation.
Solution Approach 2:
The patent performs preliminary encoding by dividing point cloud data into octrees and sub-octrees before transmission. The bitstream is prepared with organized octree structures and occupancy codes in advance, enabling the receiver to efficiently decode and reconstruct point cloud data with reduced latency.
2Reliability
If point cloud data is transmitted with high quality, then service quality improves, but encoding/decoding complexity increases
Solution Approach 1:
The patent segments point cloud data into multiple octrees and further into sub-octrees, allowing distributed and parallel encoding/decoding operations. This reduces the computational burden on single processing units while maintaining comprehensive data representation for high service quality.
Solution Approach 2:
The patent transmits occupancy codes for multiple sub-octrees including both occupied and unoccupied regions. While this appears excessive, it enables efficient random access and selective decoding at the receiver, reducing actual decoding complexity for specific regions of interest while maintaining overall data integrity.
Data Source
AI summary
A point cloud data processing method according to embodiments may comprise: encoding point cloud data; and transmitting the encoded point cloud data. A point cloud data processing method according to embodiments may comprise: receiving point cloud data; and decoding the point cloud data.