Multi-Access Edge Compute Graphics Rendering Offload
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Solution Overview
Problem
Media player devices lack sufficient computing resources to perform real-time, high-quality graphics rendering for immersive applications, leading to compromised realism and responsiveness due to limitations in processing-intensive techniques, and existing solutions rely on stable communication links which can be prone to glitches.
Innovation Solution
Implementing a request-based graphics rendering system using a multi-access edge compute (MEC) server that offloads processing-intensive tasks while allowing media player devices to perform basic rendering operations, ensuring high-quality rendering with reduced latency and resilience to communication issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If graphics rendering is performed solely by media player devices, then responsiveness and continuity are maintained, but realism and immersiveness are compromised due to insufficient computing resources
Solution Approach 1:
The patent segments the graphics rendering process into two distinct parts: basic rendering operations performed locally by the media player device (maintaining responsiveness and continuity), and processing-intensive rendering operations offloaded to a remote server (achieving high realism and immersiveness). This segmentation allows each component to specialize in what it does best without compromising overall system performance.
2Manufacturing precision
If processing-intensive rendering techniques are used to improve realism, then graphics quality increases, but device feasibility and performance are compromised due to insufficient computing resources
Solution Approach 1:
The patent extracts the processing-intensive rendering operations from the media player device and relocates them to a remote server. This extraction allows the device to remain feasible and accessible to consumers while still enabling high-quality graphics rendering through the server's powerful computing resources.
3Manufacturing precision
If all graphics rendering is offloaded to a server, then graphics quality improves, but latency and vulnerability to communication issues increase
Solution Approach 1:
By segmenting rendering operations into local and remote components, the system maintains low latency for basic operations that don't require server communication, while only incurring server round-trip latency for enhanced rendering tasks. This selective approach minimizes overall latency while still achieving high graphics quality.
4Manufacturing precision
If media player devices are equipped with sufficient computing power for high-quality rendering, then realism improves, but device complexity and cost increase
Solution Approach 1:
The remote server serves multiple functions: it acts as a powerful graphics rendering engine, a content delivery network, and a processing platform for multiple users simultaneously. This multi-functionality allows high-quality rendering without requiring each individual device to possess equivalent computing power, reducing device complexity and cost.
Data Source
AI summary
An illustrative multi-access server receives a request from a client system, the request indicating a requested rendering operation. The multi-access server also accesses input data from an asset data source. The multi-access server performs a rendering pass on the input data, the rendering pass performed in accordance with the requested rendering operation to generate a render pass output dataset. The render pass output dataset is representative of a renderable image depicting image content in a first form having limited quality or detail. The render pass output dataset is also configured for use in generating fully-rendered image data that depicts the image content in a second form having additional quality or detail beyond the limited quality or detail of the first form. Corresponding methods and systems are also disclosed.