Virtual Reality Host Image Compression Ratio Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current virtual reality systems face inaccuracies in determining image compression ratios, leading to poor image quality due to reliance on channel quality alone, which does not account for the motion status of the virtual reality device.
Innovation Solution
The virtual reality host determines the image compression ratio based on motion information of the virtual reality device, adjusting it according to the device's stationary or moving state to ensure accurate compression and quality, and also adjusts the modulation and coding scheme accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large image compression ratio is used to reduce transmitted data volume, then bandwidth requirement is met, but image quality deteriorates
Solution Approach 1:
The patent applies dynamics by making the image compression ratio adaptive rather than fixed. The compression ratio is dynamically adjusted based on real-time detection of device motion status (stationary vs. moving) and channel quality. When the device is stationary or moving slowly, a higher compression ratio is used to reduce data volume. When the device moves quickly, a lower compression ratio is used to maintain image quality and reduce motion blur, thus resolving the contradiction between data volume reduction and quality maintenance.
Solution Approach 2:
The patent changes the parameter of image compression ratio based on different operational conditions. By detecting motion status and channel quality, the system adjusts the compression ratio parameter accordingly. This parameter change allows the system to optimize between data volume and quality depending on the current state, transforming a static contradiction into a dynamic optimization problem.
2Manufacturing precision
If a small image compression ratio is used to ensure image quality, then image quality is maintained, but transmitted data volume increases
Solution Approach 1:
The system dynamically adjusts the compression ratio based on motion status detection. When the device is moving quickly, the system detects this and uses a lower compression ratio to prevent motion blur and maintain quality. When the device is stationary or moving slowly, it uses a higher compression ratio to reduce data volume. This dynamic adaptation resolves the contradiction by making the quality-data volume trade-off conditional on actual usage scenarios.
3Device complexity
If image compression ratio is determined solely based on channel quality, then transmission is simplified, but accuracy of compression ratio determination deteriorates
Solution Approach 1:
The patent merges multiple factors (channel quality and motion status) into a unified compression ratio determination process. Instead of using only channel quality, the system combines motion status detection results with channel quality assessment to jointly determine the appropriate compression ratio. This merging increases measurement precision by considering multiple relevant factors simultaneously, while the systematic approach keeps the process manageable.
Solution Approach 2:
The system implements feedback by continuously detecting motion status and channel quality, then using this information to adjust the compression ratio in real-time. The motion status detection provides feedback about actual usage conditions, which then feeds back into the compression ratio selection process. This feedback mechanism ensures accurate compression ratio determination while maintaining manageable system complexity through automated decision-making.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
This application discloses a method and an apparatus for sending a virtual reality image, to improve accuracy of an image compression ratio determined when a virtual reality image is sent. The method includes: receiving, by a virtual reality host, first motion information sent by a virtual reality device, where the first motion information is used to indicate a current motion status of the virtual reality device; determining, by the virtual reality host, a first image compression ratio based on the motion information; compressing, by the virtual reality host, a to-be-sent virtual reality image based on the first image compression ratio; and sending, by the virtual reality host, the compressed virtual reality image to the virtual reality device.