Mobile Terminal Video Frame Rate Control for Light Intensity
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Solution Overview
Problem
Mobile terminals struggle to adjust recording frame rates during video capture, leading to issues like motion blur in bright scenarios and inadequate exposure in low-light conditions, as existing methods fix frame rates and do not adapt to changing light intensities or motion statuses.
Innovation Solution
A method for automatically adjusting the recording frame rate based on light intensity and motion status, where the mobile terminal collects video frames at different rates (e.g., 30 fps, 60 fps, 24 fps) depending on light conditions and motion, to optimize image brightness and smoothness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the recording frame rate is fixed at a high value, then the video smoothness is improved, but the exposure time period becomes insufficient causing the video image to be dark in low-light scenarios
Solution Approach 1:
The patent implements dynamic frame rate adjustment by continuously monitoring light intensity levels and automatically switching between different frame rate settings (e.g., 24fps, 30fps, 60fps) based on current lighting conditions. This transforms the static frame rate parameter into a dynamic one that adapts to environmental changes, resolving the contradiction between maintaining high frame rates for smoothness and allowing lower frame rates for adequate exposure in varying light conditions.
Solution Approach 2:
The system changes the frame rate parameter based on light intensity thresholds. When light intensity exceeds a first threshold, the frame rate is set to a first value (e.g., 60fps); when it falls below a second threshold, the frame rate is reduced to a second value (e.g., 24fps); and for intermediate values, a third frame rate (e.g., 30fps) is used. This parameter adjustment strategy directly addresses the contradiction by allowing the frame rate to vary within a reasonable range to optimize both smoothness and brightness.
2Illumination intensity
If the recording frame rate is reduced to improve exposure time, then the video image brightness is improved in low-light scenarios, but motion blur occurs in bright scenarios
Solution Approach 1:
The system dynamically adjusts the recording frame rate based on real-time light intensity detection. In bright scenarios, the frame rate is increased to prevent motion blur, while in low-light scenarios, it is reduced to extend exposure time and improve brightness. This dynamic adaptation resolves the contradiction by allowing the frame rate to respond to environmental conditions rather than remaining fixed.
Solution Approach 2:
The patent employs parameter changes by establishing multiple frame rate levels (24fps, 30fps, 60fps) that are selectively applied based on light intensity thresholds. This creates a stepped parameter adjustment mechanism that optimizes the balance between exposure time and frame rate according to specific lighting conditions, preventing both motion blur in bright environments and ensuring adequate brightness in dark environments.
3Speed
If a high frame rate is used in bright scenarios, then motion blur is reduced, but the exposure time period becomes insufficient causing inadequate exposure
Solution Approach 1:
The system implements dynamic frame rate control that automatically adjusts the recording frame rate based on detected light intensity levels. In bright scenarios, the frame rate is increased to reduce motion blur, while the system compensates for the reduced exposure time through other means (such as increasing sensor gain or adjusting aperture). This dynamic adjustment resolves the contradiction by allowing the frame rate to be optimized for motion clarity while maintaining adequate exposure through compensatory mechanisms.
4Illumination intensity
If the exposure time period is extended to improve brightness, then the video image brightness is improved in low-light scenarios, but motion blur occurs due to the long exposure time
Solution Approach 1:
The patent implements dynamic frame rate adjustment that inversely relates to exposure time. When light intensity is low, the frame rate is reduced which naturally extends the exposure time per frame, improving brightness. When light intensity is high, the frame rate is increased which shortens exposure time, reducing motion blur. This dynamic relationship between frame rate and exposure time resolves the contradiction by allowing the system to optimize for brightness when needed and for motion clarity when conditions permit.
Data Source
AI summary
A recording frame rate control method includes a mobile terminal starts video recording and collects N video frames of a photographing scenario at a first frame rate. The mobile terminal determines light intensity in the photographing scenario based on the N video frames, and adjusts a recording frame rate of the mobile terminal based on the light intensity in the photographing scenario.


