Point Cloud Bitstream Segmentation for Network Streaming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current point cloud compression techniques, such as TMC2, lack an appropriate system layer tool for efficient integration into network streaming and sharing applications, limiting their ability to support real-time and dynamic point cloud data transmission.
Innovation Solution
The method involves generating a bitstream for point cloud compression and dividing it into access units (AUs) that include layer-specific geometry data, texture data, auxiliary patch information, and occupancy information, with each AU sized to match the maximum transmission unit (MTU) in a network, enabling efficient transmission and processing of point cloud data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If point cloud data is compressed using existing techniques like TMC2, then compression rate is improved, but integration capability with network streaming applications is insufficient
Solution Approach 1:
The patent segments the compressed point cloud bitstream into multiple access units (AUs), where each AU contains a specific portion of the point cloud data. This segmentation enables the data to be processed and transmitted in manageable chunks that are suitable for network streaming, thereby improving both compression efficiency and adaptability to network applications.
Solution Approach 2:
The patent introduces a new structural dimension to the compressed data by organizing it into a hierarchical framework with layers, trees, and access units. This multi-dimensional organization transforms the flat compressed bitstream into a structured format that is natively compatible with network streaming protocols and real-time processing requirements.
2Speed
If point cloud data is transmitted in real-time, then responsiveness is improved, but data transmission size remains large
Solution Approach 1:
The patent performs compression and organization of point cloud data into access units before transmission. By pre-processing the data into a compact, structured format with hierarchical organization, the system reduces the transmission size in advance, enabling faster real-time streaming without sacrificing data quality.
3Productivity
If point cloud data is organized with detailed hierarchical structure, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex point cloud data into segmented access units with standardized structures. Each AU contains organized elements (trees, nodes, points) that can be independently processed. This segmentation reduces system complexity by breaking down the large-scale hierarchical structure into manageable, reusable units while maintaining processing efficiency.
Data Source
AI summary
Various embodiments of the present disclosure relate to a device and a method for processing point cloud data on the basis of PCC technology in a multimedia system. To this end, a bit stream according to point cloud compression may be generated, and the bit stream may be divided to generate access units by a plurality of type-specific data elements. The plurality of data elements may include at least one layer-specific shape data, at least one layer-specific texture data, auxiliary patch information, and occupancy information. The size of each of the plurality of access units may match a maximum transmission unit in a network.