Variable Frame Rate Video Capture for Motion Blur Reduction
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Solution Overview
Problem
Existing video capture technologies face challenges in reducing motion blur in rapidly moving objects without increasing image data bandwidth or introducing noise, especially in low-light conditions, as higher frame rates can lead to increased noise in static regions.
Innovation Solution
A method that dynamically adjusts the capture rate and exposure time based on the speed of motion within a scene, increasing the capture rate and reducing exposure time in regions with rapid motion to minimize motion blur while maintaining acceptable bandwidth and noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the frame rate is increased to reduce motion blur in rapidly moving objects, then image quality of moving objects is improved, but data transmission bandwidth and data storage requirements increase proportionately
Solution Approach 1:
The patent applies local quality by differentiating capture rates across different regions of the video frame. Regions containing rapidly moving objects are captured at higher frame rates to reduce motion blur, while static or slowly moving regions are captured at lower frame rates. This spatial differentiation of capture quality allows the system to improve image quality where needed without proportionally increasing overall data rate.
Solution Approach 2:
The patent implements dynamics by making the capture rate adaptive and variable rather than fixed. The system dynamically adjusts capture rates based on real-time motion detection and analysis, transitioning between different frame rates for different regions as motion characteristics change. This dynamic adaptation allows optimization of both image quality and data rate based on actual scene conditions.
2Quantity of substance
If motion detection techniques are used to reduce data transmission rate by reusing image content, then data rate is reduced, but blur in the captured video remains unaffected
Solution Approach 1:
The patent applies preliminary action by performing motion detection and capture rate determination before the actual video capture process. The system analyzes motion characteristics in advance, identifies regions with rapid motion, and pre-determines the capture rate for each region before capturing the video data. This preliminary analysis enables the system to optimize capture parameters proactively, ensuring that rapidly moving objects are captured with sufficient frame rate to minimize blur while maintaining efficient data rates for static regions.
3Quantity of substance
If variable frame rate systems are used to deliver desired image quality in limited bandwidth environments, then data transmission requirements are managed, but the system does not address reduction of blur in rapidly moving objects
Solution Approach 1:
The patent extends variable frame rate systems by implementing local quality differentiation specifically targeted at motion blur reduction. Rather than uniformly adjusting frame rates across the entire image, the system identifies specific regions containing rapidly moving objects and applies higher capture rates only to those regions. This localized approach directly addresses blur reduction in moving objects while maintaining bandwidth efficiency in static regions.
Solution Approach 2:
The patent incorporates feedback mechanisms where motion detection results from previously captured frames inform the capture rate selection for subsequent frames. The system continuously monitors motion characteristics, uses this feedback to determine regions requiring high-speed capture, and adjusts capture parameters accordingly. This closed-loop feedback ensures that blur reduction is applied dynamically based on actual motion conditions rather than predetermined settings.
Data Source
AI summary
A method of capturing a video of a scene depending on the speed of motion in the scene, includes capturing a video of the scene; determining the relative speed of motion within a first region of the video of the scene with respect to the speed of motion within a second region of the video of the scene; and causing a capture rate of the first region of the video of the scene to be greater than a capture rate of the second region of the video of the scene, or causing an exposure time of the first region to be less than exposure time of the second region.