Point Cloud Media Streams With Priority-Based Separate Transmission
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Solution Overview
Problem
Current point cloud data transmission and consumption strategies do not consider varying user requirements and network conditions, leading to inefficient use of network resources and decoding resources due to uniform handling of combined point cloud data.
Innovation Solution
A data processing method and apparatus that determines multi-frame combined point cloud information, writes it into media streams, and sends it separately to a receiving end based on specific transmission and consumption priorities, allowing flexible and efficient handling of geometric and attribute information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all combined point cloud data are transmitted according to the same strategy, then transmission simplicity is maintained, but network resource efficiency deteriorates due to unnecessary transmission of non-preferred information
Solution Approach 1:
The patent segments combined point cloud data into multiple separate media streams based on different consumption requirements. Each stream contains specific attribute information (e.g., geometric information, color, reflectivity) that can be independently transmitted and consumed. This segmentation allows the receiving end to selectively receive only the needed streams, improving transmission efficiency while reducing network resource waste.
Solution Approach 2:
The patent introduces dynamic transmission strategies where the selection and prioritization of media streams are adapted based on real-time network conditions and user preferences. The system can dynamically adjust which attribute information streams are transmitted and in what order, making the transmission process flexible and efficient rather than static and uniform.
2Adaptability or versatility
If combined point cloud data are handled uniformly, then processing complexity is reduced, but adaptability to different user requirements deteriorates
Solution Approach 1:
The patent segments combined point cloud data into multiple separate media streams based on different consumption requirements. Each stream contains specific attribute information (e.g., geometric information, color, reflectivity) that can be independently transmitted and consumed. This segmentation allows the receiving end to selectively receive only the needed streams, improving transmission efficiency while reducing network resource waste.
Solution Approach 2:
The patent creates a universal media stream structure that can serve multiple consumption scenarios. The segmented streams are designed with a standardized format that can be independently consumed or combined based on different user requirements, making the system versatile while maintaining manageable processing complexity through modular design.
3Productivity
If all attribute information is transmitted with equal priority, then transmission fairness is maintained, but decoding resource efficiency deteriorates due to processing of non-essential information
Solution Approach 1:
The patent applies different transmission priorities to different attribute information streams based on their importance and user preferences. Critical geometric information can be transmitted with higher priority and decoded first, while less essential attribute information (e.g., color, reflectivity) can be transmitted with lower priority or deferred. This local quality differentiation optimizes decoding efficiency by focusing resources on essential data.
Solution Approach 2:
The patent enables partial transmission of attribute information where only the most essential streams are transmitted and decoded in certain scenarios. The receiving end can consume a subset of the available streams based on immediate needs, avoiding the processing overhead of decoding all attribute information when only partial data is required.
Data Source
AI summary
Provided are a data processing method and apparatus, a communication node, and a storage medium. The data processing method includes determining multi-frame combined point cloud information; writing the multi-frame combined point cloud information into media streams of combined point cloud data; and sending, according to the multi-frame combined point cloud information, the media streams of the combined point cloud data to a receiving end separately.