Adaptive Video Recording Control for High Processor Load
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Solution Overview
Problem
Existing video recording methods fail to improve smoothness when processor load is high, leading to reduced frame rate and resolution, which further deteriorates user experience.
Innovation Solution
A video recording method that dynamically adjusts configuration based on processor load and smoothness detection, reducing or increasing frame rate and resolution when necessary to maintain optimal video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the frame rate and resolution are reduced when processor load is excessively high, then the processor can handle the recording task, but the smoothness of video recording deteriorates further
Solution Approach 1:
The system continuously monitors the smoothness of video recording and processor load in real-time. When smoothness deteriorates due to excessive processor load, the system uses feedback to dynamically adjust recording configuration (reducing frame rate or resolution) to restore smoothness, creating a closed-loop control mechanism that prevents further deterioration.
Solution Approach 2:
The video recording configuration is made dynamic rather than static. The system automatically adjusts frame rate and resolution parameters based on real-time processor load conditions, allowing the recording settings to adapt flexibly to changing system resources while maintaining acceptable smoothness levels.
2Reliability
If the configuration of video recording is reduced to improve smoothness, then the smoothness improves, but the video quality deteriorates
Solution Approach 1:
The system dynamically adjusts recording configuration based on real-time conditions. When processor load is high and smoothness deteriorates, it reduces configuration (frame rate/resolution). When processor load decreases and smoothness improves, it restores or enhances configuration to maintain high video quality, making quality reduction temporary and conditional rather than permanent.
Solution Approach 2:
The system changes recording parameters (frame rate, resolution) based on processor load conditions. By monitoring smoothness and load levels, it adjusts these parameters to optimize both smoothness and quality - reducing parameters only when necessary to maintain smoothness, and restoring them when conditions permit to preserve video quality.
3Power
If the frame rate and resolution are reduced, then the processor load decreases, but the user experience is further reduced
Solution Approach 1:
The system uses feedback from smoothness monitoring to determine when configuration reduction is necessary. By continuously assessing whether smoothness has deteriorated, it only reduces frame rate and resolution when actually needed to maintain smooth recording, avoiding unnecessary quality reduction and preserving user experience during normal operation.
Solution Approach 2:
The system changes recording parameters dynamically based on the balance between processor load and smoothness requirements. It increases or decreases frame rate and resolution settings in response to real-time conditions, ensuring that user experience is maintained during normal operation while allowing quality adjustment only when processor constraints necessitate it.
Data Source
AI summary
In a video recording method, after a video recording function is enabled, an electronic device may detect smoothness of video recording and load of a processor. When it is determined that the video recording is not smooth and that the load of the processor is greater than a first threshold, a configuration of the video recording may be reduced to improve the smoothness of the video recording.