Video Stabilization Motion Artifact Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Digital video stabilization methods in personal electronics devices can introduce 'motion artifacts' when the device is stable, as they incorrectly compensate for motion, degrading video quality.
Innovation Solution
Implementing a motion detection system to analyze physical motion data and selectively disable video stabilization when the device is stable, ensuring that stabilization is only applied when the device is actually moving, thereby preventing incorrect compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video stabilization is continuously applied, then video quality is improved by reducing blur, but motion artifacts are introduced when the device is stable
Solution Approach 1:
The system dynamically adjusts the stabilization process by continuously monitoring device motion through sensors and selectively applying stabilization only when motion is detected. The stabilization engine transitions between active and inactive states based on real-time motion analysis, making the system adaptive rather than static.
Solution Approach 2:
The stabilization system monitors its own operating conditions through device sensors and automatically determines when stabilization should be applied or disabled. The system serves itself by using its own motion detection capabilities to control its stabilization function, eliminating the need for external control inputs.
2Object-generated harmful factors
If motion stabilization is suspended when device is stable, then motion artifacts are prevented, but video quality degradation occurs when stabilization is needed
Solution Approach 1:
The system uses feedback from device sensors to continuously monitor motion conditions and adjust stabilization application accordingly. Motion sensor data feeds back to the stabilization engine, which uses this information to determine whether to apply or suspend stabilization, creating a closed-loop control system.
Solution Approach 2:
The system performs preliminary motion analysis using sensor data before applying stabilization to determine whether stabilization is appropriate. By analyzing motion conditions in advance, the system prevents unnecessary stabilization application that would create artifacts while ensuring stabilization is applied when needed.
3Manufacturing precision
If feature matching is performed on all frames, then comprehensive motion compensation is achieved, but processing time and computational resources increase
Solution Approach 1:
The system performs feature matching and motion compensation only on a partial subset of frames - specifically, only when motion is detected. By applying stabilization selectively rather than universally to all frames, the system reduces computational workload and processing time while maintaining adequate motion compensation where needed.
Data Source
Figure 1
Figure 2
Figure 3a
AI summary
Digital video stabilization is selectively turned off in circumstances where it could actually decrease the quality of a captured video. A video camera (100) includes a device (110) for directly detecting physical motion of the camera (100). Motion data from the motion detector (110) are analyzed (206) to see if video stabilization is appropriate. If the motion data indicate that the video camera (100) is stable, for example, then video stabilization is not applied to the video, thus preventing the possibility of introducing "motion artifacts" into the captured video. In another example, motion as detected (404) by the motion detector (110) can be compared with motion as detected (406) by the video-stabilization engine (108). If the two motions disagree significantly (408), then the video-stabilization engine (108) is probably responding more to motion in the captured video rather than to motion of the camera (100) itself, and video stabilization should probably not be applied to the video.