Video Stabilization via Acceleration Threshold Pausing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Digital video cameras face challenges in stabilizing video streams during sudden and unintended movements, such as jolting or dropping, which can result in erratic scenes and difficulties in framing images upon resuming recording.
Innovation Solution
Incorporating a motion sensing component that measures movement and acceleration thresholds to temporarily stop recording and viewfinder updates during jolts, allowing for the exclusion of jolted frames from the final video stream and providing a placeholder image for proper framing upon resumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video recording continues during sudden movements, then recording continuity is maintained, but video quality deteriorates with erratic scenes and framing errors
Solution Approach 1:
The system detects sudden movements using acceleration sensors and skips recording during jolt events by temporarily pausing frame capture and playback. This allows the system to rush through the problematic movement period without capturing erratic frames, then resume normal recording, thereby maintaining video quality while minimizing recording interruption time.
2Reliability
If recording is interrupted during jolts, then video quality improves by eliminating erratic frames, but recording continuity deteriorates
Solution Approach 1:
The system performs preliminary detection of jolt events using acceleration sensors before capturing problematic frames. When a jolt is detected, the system proactively pauses recording in advance, preventing erratic frames from being captured. This preliminary action ensures video quality improvement while minimizing the duration of recording interruption by only pausing when necessary.
3Stability of the object's composition
If all movement is filtered out, then video stability improves, but legitimate motion tracking deteriorates
Solution Approach 1:
The system applies different quality treatments to different portions of the video data based on local movement characteristics. Normal hand-held movements are allowed to pass through with minimal processing, while sudden jolt events are detected and filtered out. This local quality approach maintains video stability by eliminating only the problematic jolt portions while preserving legitimate motion tracking capability for normal movements.
Data Source
AI summary
A video device is provided. The video device comprises a sensor to determine an amount of movement of the video device, a memory component to store video-related information, and a processor to receive movement information from the sensor and to interrupt communication of video-related information to the memory component when the movement information indicates that acceleration of the video device exceeds a threshold.