Video Editing via Motion Data Interference Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video editing methods require significant user effort and time, especially when dealing with videos shot from aerial vehicles or using gimbals, as they often result in poor image quality due to unsmooth control, leading to the need for manual deletion of poor-quality clips.
Innovation Solution
A method and device that automatically edit video clips based on interference information detected during the shooting process, such as acceleration and angular velocity data, to identify and remove affected segments, thereby improving image quality without requiring complex operations from users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual video editing is performed by viewing and deleting poor-quality clips, then video quality is improved, but user time and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary recording of motion data (acceleration, angular velocity) during the shooting process. This pre-captured data is then used in post-processing to automatically identify poor-quality clips, eliminating the need for manual quality assessment and significantly reducing editing time while maintaining video quality improvement
Solution Approach 2:
The system enables self-service by automatically analyzing recorded motion data to identify and mark poor-quality video clips without user intervention. The processor autonomously determines which clips to delete based on interference thresholds, allowing the editing system to serve itself rather than requiring manual user operation
2Manufacturing precision
If professional video cutting software is used for manual editing, then video quality is improved, but operational complexity increases
Solution Approach 1:
The system replaces complex manual operations with self-service automation. The processor automatically analyzes motion data, identifies poor-quality clips based on interference thresholds, and prepares them for deletion without requiring users to navigate professional software interfaces, thereby maintaining video quality improvement while dramatically simplifying operations
Solution Approach 2:
The system substitutes manual mechanical operations (user viewing, judging, and deleting clips) with an automated computational system that analyzes motion data and makes editing decisions algorithmically, replacing the need for professional video cutting software and complex user interactions
3Extent of automation
If motion data recording is performed during shooting, then automatic editing capability is improved, but device complexity increases
Solution Approach 1:
The shooting module is designed with multi-functionality, serving both as a video capture device and a motion data recording device. By integrating acceleration and angular velocity sensors into the existing shooting module, the system achieves automatic editing capability without adding separate dedicated hardware systems, thereby reducing overall device complexity
Data Source
AI summary
An image processing method includes, when an edit triggering event for a target image is detected, acquiring description information associated with the target image. The description information includes interference information that affects image quality occurred in a shooting process of the target image. The description information includes at least one of motion data of a carrying member that carries a shooting module configured to acquire the target image or motion data of a moving object on which the carrying member is mounted. The method further includes editing image clips in the target image which are associated with respective interference information of the description information to obtain a processed target image.