Point Cloud Data Encapsulation with Classification Records
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Solution Overview
Problem
Existing multimedia transmission protocols are inefficient in transmitting point cloud data, particularly in heterogeneous networks, leading to low transmission efficiency and waste of storage space, as they require sending all data types simultaneously and do not allow for flexible data selection based on user needs.
Innovation Solution
A point cloud data encapsulation method that uses a classification record to identify and selectively transmit only the necessary data types and versions of point cloud media files, allowing for flexible and efficient transmission by associating media segments with data types and versions, and adding flags to indicate data types and versions, thereby optimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all point cloud data types are transmitted simultaneously using existing multimedia transmission protocols, then complete point cloud information is delivered, but bandwidth is wasted and transmission efficiency decreases
Solution Approach 1:
The point cloud data is segmented into four distinct types (geometric information, attribute information, occupation graph information, and auxiliary information), allowing selective transmission of only the necessary data types based on user needs and application scenarios, rather than transmitting all data simultaneously
Solution Approach 2:
The transmission system dynamically adapts by allowing users to independently select and acquire specific media content types based on their requirements, making the transmission process flexible and adaptable to different scenarios rather than using a fixed all-or-nothing approach
2Adaptability or versatility
If existing multimedia transmission protocols are used for point cloud data, then transmission can be performed, but transmission efficiency is low in heterogeneous networks
Solution Approach 1:
The patent applies a universal classification mechanism that can be integrated with existing multimedia transmission protocols while enabling efficient point cloud data transmission. The classification record structure is designed to be protocol-agnostic, allowing the system to work across heterogeneous networks while maintaining high transmission efficiency through selective data transmission
3Reliability
If all data types are transmitted to ensure complete point cloud information, then data completeness is achieved, but storage space is wasted
Solution Approach 1:
By segmenting point cloud data into distinct types and using a classification record to identify them, the system enables users to store and transmit only the specific data types they need, eliminating the waste of storage space on unnecessary data while ensuring that complete information is available when all types are stored
Data Source
AI summary
Provided are a point cloud data encapsulation method and a point cloud data transmission method. The point cloud data encapsulation method includes: compressing a point cloud media file; and encapsulating the compressed point cloud media file and setting a classification record according to a data type, where the classification record is used for indicating a data type of each portion of point cloud data in the point cloud media file. The problem of low transmission efficiency of the media content and waste of storage space in the point cloud data transmission is solved, the flexibility of the media content combination is increased, management control of a multimedia service is increased, users are given more rights to independently select and acquire the media content, diversified application scenarios are provided, and better multimedia content provision and transmission solutions are provided for network operators.