UAV Video Segmentation via Flight Parameters
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Solution Overview
Problem
The existing video processing methods for unmanned aerial vehicle (UAV) videos are inefficient due to the complexity of post-editing processes required after recording, which reduces user efficiency.
Innovation Solution
A video processing method that acquires video data, segments it based on flight or motion parameters, and processes these segments according to preset parameters to produce a target video, eliminating the need for post-editing through machine learning and user-defined settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually post-edit videos using editing software, then video editing can be performed with flexibility, but the process becomes complicated and processing efficiency decreases
Solution Approach 1:
The system automatically performs video segmentation and editing operations without requiring manual user intervention. The terminal device autonomously acquires flight parameter information, segments video data accordingly, and processes segments to generate the final video, making the system self-sufficient in the editing task.
Solution Approach 2:
The video segmentation and processing operations are performed automatically during or immediately after the video recording process, rather than requiring separate post-editing sessions. By preparing and organizing video segments in advance based on flight parameters, the system eliminates the need for complicated manual post-editing workflows.
2Productivity
If automated processing is implemented, then video processing efficiency improves, but the complexity of the processing system increases
Solution Approach 1:
Flight parameter information serves as an intermediary that bridges the video recording process and the automated segmentation process. The terminal device utilizes this intermediate data to automatically determine segmentation points and process video segments, enabling automation without requiring complex artificial intelligence or manual configuration systems.
Data Source
AI summary
A video processing method and a terminal device are provided. The video processing method includes acquiring video data, acquiring a plurality of video segments from the video data according to flight parameter information of an unmanned aerial vehicle or motion parameter information of a capturing device, and obtaining a target video by processing the plurality of video segments according to a preset parameter.