Video Framing by Device Motion and Direction Locking
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Solution Overview
Problem
Manually reviewing videos with wide fields of view to determine framing is difficult and time-consuming due to the challenge of identifying which spatial extents contain interesting views.
Innovation Solution
A system and method that utilizes video information, gravity-direction information, orientation information, and other data to automatically frame videos by rotating and positioning a viewing window within the field of view based on image capture device motion, simulating a stable view as if captured without orientation changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of video is used to determine framing, then accurate identification of interesting views is achieved, but time consumption increases significantly
Solution Approach 1:
The system enables automatic framing by having the video processing system itself analyze and determine the framing based on visual content analysis, rather than requiring external manual review. The processor automatically identifies interesting views and determines optimal framing parameters, making the system self-sufficient in the framing task.
Solution Approach 2:
The patent replaces the mechanical/manual process of human video review with an automated computational system. The processor uses algorithms to analyze visual content, detect interesting views, and determine framing, substituting human manual operations with automated image processing and pattern recognition techniques.
2Area of stationary object
If wide field of view is used in video capture, then more spatial extent is captured, but difficulty in determining framing increases
Solution Approach 1:
The system analyzes the visual content within the wide field of view to generate feedback information about which regions contain interesting views. This feedback is then used to automatically adjust and determine the optimal framing, creating a closed-loop system that uses the captured content itself to guide the framing decision.
Solution Approach 2:
The system performs preliminary analysis of the wide field of view content to identify interesting views and determine framing parameters before final video presentation. By pre-processing and analyzing the captured content, the system prepares framing information in advance, making the subsequent framing determination more efficient and accurate.
Data Source
AI summary
A video may be framed using information on direction-locking of the video. The video may be rotated based on changes in the orientation of the image capture device during video capture to simulate a video captured with the image capture device pointed in the same direction (e.g., north direction). Panning may be used to frame the video in the direction of the motion of the image capture device. The direction and amount of panning may be determined by inverting the pan rotation that was performed on the video to direction-lock the video.


