Electronic Apparatus Image Processing for Cloud-Gaming Input Lag
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Solution Overview
Problem
Existing cloud gaming systems face significant input lag due to delays in processing and transmitting high-definition, complex game content, which affects the quality of the gaming experience.
Innovation Solution
An electronic apparatus and method that dynamically adjusts image processing based on input lag allowance time, using a neural network model to identify optimal image processing methods, such as definition improvement, noise reduction, contrast ratio enhancement, and frame rate improvement, to minimize latency while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-definition and high complexity game content is processed and transmitted through cloud server, then image quality is improved, but input lag increases
Solution Approach 1:
The system dynamically adjusts image processing methods based on real-time conditions. The processor selects from multiple image processing methods (first through fourth methods) depending on the calculated input lag allowance time, manipulating time, and communication time. This dynamic adaptation allows the system to optimize between image quality and input lag continuously rather than using a fixed processing approach.
Solution Approach 2:
The system changes processing parameters based on calculated timing metrics. By calculating the input lag allowance time and comparing it with the sum of manipulating time and communication time, the system adjusts which image processing methods to apply. When time allows, more intensive processing (definition improvement, noise reduction, etc.) is applied; when time is constrained, processing is reduced or skipped to meet latency requirements.
2Manufacturing precision
If multiple image processing methods are applied to content, then image quality is improved, but processing time increases
Solution Approach 1:
The system applies image processing methods partially rather than always applying all available methods. Based on the input lag allowance time calculation, the processor selectively applies only the necessary subset of image processing methods (definition improvement, noise reduction, contrast ratio improvement, frame rate improvement) to achieve acceptable image quality within the time constraint, rather than applying excessive processing that would increase latency.
Solution Approach 2:
The selection of image processing methods is dynamic rather than static. The processor evaluates the input lag allowance time and adjusts which methods to apply in real-time. This dynamic selection allows the system to optimize the balance between applying sufficient processing for quality and limiting processing to meet timing requirements.
Data Source
AI summary
An electronic apparatus is provided. The electronic apparatus includes: a communication interface; a user interface; and a processor configured to control the electronic apparatus to: receive a content and metadata corresponding to the content from a server through the communication interface; obtain an input lag allowance time corresponding to the content based on any one or any combination of image information corresponding to the content, the metadata, or a pattern of a user command received through the user interface; identify at least one image processing method, among a plurality of image processing methods, based on the input lag allowance time; and perform image processing on the content based on the at least one image processing method.