XR Video Compression Reporting Using Cross-Device Frame Correlation
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in video frame compression due to the lack of leveraging correlations between video frames captured by multiple XR devices or cameras, leading to excessive resource consumption and processing overhead.
Innovation Solution
A UE or network entity adjusts video frame compression levels at XR devices by determining correlations between video frames captured by multiple XR nodes, using joint probability distribution functions and entropy estimation to implement a more efficient compression scheme, thereby reducing processing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video frames from multiple XR devices are compressed using traditional independent compression schemes, then each device can operate autonomously, but processing overhead and resource consumption increase significantly
Solution Approach 1:
The patent merges the compression processes of multiple XR devices by exploiting temporal and spatial correlations between their video frames. Instead of compressing each device's frames independently, the system combines information from multiple sources to achieve more efficient compression, reducing overall processing overhead while maintaining quality.
Solution Approach 2:
The patent changes compression parameters dynamically based on the correlation between frames from different XR devices. By analyzing temporal and spatial relationships, the system adjusts compression levels and techniques to optimize efficiency, reducing processing requirements when high correlation is detected between multiple device streams.
2Loss of energy
If higher compression levels are applied to video frames, then bandwidth consumption decreases, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of frame correlations between multiple XR devices before applying compression. By pre-identifying temporal and spatial relationships, the system can optimize compression parameters in advance, achieving efficient bandwidth utilization without excessive processing time during actual compression operations.
3Ease of operation
If independent compression is used for each XR device, then device autonomy is maintained, but overall system resource utilization is inefficient
Solution Approach 1:
The patent introduces a coordination mechanism that acts as an intermediary between multiple XR devices. This mediator analyzes frame correlations and coordinates compression strategies across devices, maintaining individual device autonomy while optimizing overall system resource utilization through collaborative compression approaches.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A wireless device may receive, from a first source device, a first quantity of frames that may be compressed in accordance with a first compression scheme and may receive, from a second source device, a second quantity of frames that may be compressed in accordance with the first compression scheme. The wireless device may transmit, to at least the first source device, a compression level report that indicates a second compression scheme for compression of additional quantities of frames from the first source device, where the second compression scheme may be associated with reduced processing with respect to processing associated with the first compression scheme, where the reduced processing may be based on a correlation between the first content of the first quantity of frames and the second content of the second quantity of frames.