Adaptive Content Compression for Multi-User Network Delivery
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Solution Overview
Problem
Existing systems for content delivery in virtual, augmented, and mixed reality environments face challenges with motion sickness due to high processing requirements, limited mobility, and inefficient content compression over communications networks with bandwidth and latency limitations, especially when serving multiple users.
Innovation Solution
A system and method for dynamically adjusting content compression based on network and user metrics, using processing devices to calculate target compression for each user, optimizing bandwidth allocation and compression schemes to ensure efficient and high-quality content delivery across a communications network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution images are generated to appear lifelike, then image quality is improved, but processing hardware requirements and bandwidth increase
Solution Approach 1:
The patent applies different compression levels to different regions of the image based on their importance. High-resolution details are preserved in critical areas (such as the center of vision or regions with important content), while less critical areas use higher compression. This allows the system to maintain perceived image quality while reducing overall bandwidth requirements.
Solution Approach 2:
The system dynamically adjusts compression parameters based on network conditions, user device capabilities, and content characteristics. By changing compression ratios, resolution levels, and encoding parameters adaptively, the system optimizes the balance between image quality and bandwidth consumption for each transmission scenario.
2Quantity of substance
If compression is increased to reduce bandwidth usage, then bandwidth consumption is reduced, but image quality deteriorates
Solution Approach 1:
Different regions of the image are compressed at different levels based on their visual importance. Critical regions maintain higher quality with lower compression, while non-critical regions use higher compression ratios. This selective approach reduces overall bandwidth usage while preserving essential visual information.
3Productivity
If dynamic compression adjustment is implemented for each user, then network utilization is optimized, but system complexity increases
Solution Approach 1:
The system segments the user base and content into different categories or groups, applying different compression strategies to each segment. This allows complex adaptive compression to be applied where needed while using simpler methods for other cases, reducing overall system complexity while maintaining optimization benefits.
Solution Approach 2:
The system uses feedback from network performance monitoring, user device capabilities, and transmission results to dynamically adjust compression parameters. This closed-loop approach optimizes network utilization by continuously adapting to changing conditions while keeping the control logic relatively simple through rule-based or machine learning models.
4Reliability
If wired connection is used to ensure high bandwidth and low latency, then network performance is improved, but user convenience deteriorates
Solution Approach 1:
The system adapts transmission parameters including compression ratio, resolution, and frame rate based on the connection type (wired or wireless). By dynamically changing these parameters, the system maintains acceptable network performance on wireless connections while preserving user convenience through mobile freedom.
Data Source
AI summary
A system for controlling content compression for transmission via a communications network used to serve content to a plurality of users, the system including one or more processing devices configured to acquire one or more network metrics indicative of communications network performance, acquire one or more user metrics for each of the plurality of users, the one or more user metrics being indicative of content display requirements associated with each user, dynamically calculate a target compression for each of the plurality of users at least in part based on at least one of the network metrics and the user metrics and cause content for each user to be compressed in accordance with the target compression for that user.