Semantic Tag Deduplication for AR/VR Edge Data Delivery
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Solution Overview
Problem
Current data processing systems for augmented reality (AR) and virtual reality (VR) face challenges with high bandwidth usage and delay due to redundant data transmission, which affects user experience and resource consumption in 5G and edge computing environments.
Innovation Solution
A method that generates semantic tags for data content segments using computer vision and machine learning algorithms to identify and compare target data with historical data, determining redundancy and reducing unnecessary data transmission by using these tags as metadata for deduplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transmitted from edge server to terminal device, then content delivery is achieved, but bandwidth is consumed and delay is introduced
Solution Approach 1:
The system performs preliminary actions by generating semantic tags for data content segments before transmission and storing them in a database. When a terminal device requests content, the edge server queries the database for matching tags to identify and eliminate redundant data transmission, thereby reducing bandwidth consumption while maintaining efficient content delivery
Solution Approach 2:
Semantic tags serve as an intermediary element between the edge server and terminal device. Instead of directly comparing entire data content segments, the system uses these compact tag representations to identify redundancy, reducing the communication overhead and bandwidth required for content delivery verification
2Productivity
If data is transmitted from edge server to terminal device, then content delivery is achieved, but transmission delay increases
Solution Approach 1:
The system extracts essential semantic information from data content segments and stores it as compact tags in the database. During content delivery, the edge server queries these extracted tags to identify redundant content, eliminating the need to transmit already-delivered data and thereby reducing transmission delay
Solution Approach 2:
By pre-generating and storing semantic tags before actual content delivery, the system enables rapid redundancy checking during transmission. This preliminary preparation allows the edge server to quickly identify and eliminate redundant data, significantly reducing transmission delay
3Reliability
If redundant content is repeatedly transmitted, then content availability is maintained, but resource consumption increases
Solution Approach 1:
The system implements a feedback mechanism where semantic tags of transmitted content are stored in a database and queried before subsequent transmissions. This feedback loop enables the edge server to recognize and eliminate redundant content transmissions, maintaining content availability while reducing resource consumption from repeated transmissions
Solution Approach 2:
Semantic tags act as an intermediary record-keeping mechanism that tracks delivered content without requiring storage of the actual content segments. This intermediary approach enables reliable tracking of transmitted content while minimizing the resources required for redundancy verification
Data Source
AI summary
Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data processing. The method for data processing includes: generating, based on a category of a target data content segment, a target tag for the target data content segment; acquiring a reference tag set, a reference tag in the reference tag set being generated based on a category of a historical data content segment; and determining redundancy of the target data content segment based on comparison between the target tag and the reference tag set. In this way, the distribution of a large amount of redundant data from an edge server to a terminal device can be avoided, thereby saving bandwidth, improving delay, and further providing a better user experience for AR/VR content experience.