Video Stabilization Using Sensor-Guided Frame Selection
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Solution Overview
Problem
Conventional video generation techniques for portable devices result in lengthy, shaky, and choppy action videos due to replicated frames and movement, requiring significant computational resources for post-processing to stabilize them, making them impractical for consumer use.
Innovation Solution
A method and device for video generation that determines direction and location information using sensor data to select and generate composite video frames along a path, selecting frames based on angle and focal distance thresholds, thereby stabilizing and smoothing the video without extensive computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional video frame sampling techniques are used to remove replicated frames, then the video length is reduced, but the video becomes choppy and loses seamless viewing experience
Solution Approach 1:
The system performs preliminary stabilization by determining device direction and location information for each captured video frame using sensor data before video generation. This preliminary processing creates a stabilized path that guides subsequent frame selection, ensuring smooth transitions and eliminating choppy effects while reducing overall video length by removing replicated frames.
Solution Approach 2:
The system introduces an intermediary stabilization layer between raw captured frames and final video output. By calculating device orientation and position relative to a generated path, the system creates intermediate stabilized frame representations that maintain viewing quality while enabling efficient frame sampling to reduce video length.
2Reliability
If post-processing techniques are implemented to remove unwanted replicated frames, then the video quality is improved, but huge computational resources are required
Solution Approach 1:
The system performs preliminary stabilization by determining device direction and location information for each captured video frame using sensor data before video generation. This preliminary processing creates a stabilized path that guides subsequent frame selection, ensuring smooth transitions and eliminating choppy effects while reducing overall video length by removing replicated frames.
Solution Approach 2:
The system extracts only the essential stabilization information (device direction and location relative to path) from sensor data during capture, rather than performing heavy computational analysis on the video frames themselves. This extraction approach maintains video quality by preserving key motion information while dramatically reducing computational requirements for subsequent processing.
3Loss of information
If all captured video frames are included in the output video, then the viewing experience is comprehensive, but the video becomes lengthy and tiresome to watch
Solution Approach 1:
The system performs preliminary stabilization by determining device direction and location information for each captured video frame using sensor data before video generation. This preliminary processing creates a stabilized path that guides subsequent frame selection, ensuring smooth transitions and eliminating choppy effects while reducing overall video length by removing replicated frames.
Solution Approach 2:
The system applies selective frame inclusion based on local quality criteria - each frame is evaluated individually based on its angle relative to the generated path and its contribution to viewing quality. Frames that provide unique viewing perspectives or significant scene changes are included, while replicated frames are removed, maintaining content completeness while reducing duration.
Data Source
AI summary
Various aspects of a method and device for video generation are disclosed herein. The method includes determination of direction and location information of the device in motion for a plurality of captured video frames. Based on the determined location information, a path of the device in motion is generated. For a captured video frame from the plurality of captured video frames, an angle between a first vector and a second vector is calculated. The first vector corresponds to the determined direction information associated with the captured video frame. The second vector corresponds to the generated path. The method further includes selection of the captured video frame, for the generation of the video, based on at least the calculated angle.