Drone Video Editing via Flight Path Context and AR Segmentation
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Solution Overview
Problem
Existing video editing technologies face challenges in efficiently processing and enhancing videos captured by electronic devices like drones, due to limited processing power and user difficulty in creating new effects.
Innovation Solution
A system and method for editing videos captured by electronic devices, where video editing effects are applied based on the flight path of the device, and augmented reality effects are added using two-dimensional body tracking and segmentation masks, with a user interface that provides contextualized editing options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video editing effects are applied to enhance video quality, then video presentation quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-processes flight path data during or immediately after video capture to identify key moments, locations, and characteristics. This preliminary analysis enables rapid application of context-relevant effects during editing, avoiding the need to analyze entire videos from scratch and significantly reducing processing time while maintaining high video quality.
Solution Approach 2:
The system dynamically adjusts video editing parameters based on flight path characteristics such as altitude changes, speed variations, and geographic location. By automatically modifying parameters like transition timing, effect intensity, and sequence ordering based on these parameters, the system achieves high-quality contextualized editing without manual intervention or excessive processing time.
2Manufacturing precision
If advanced video editing effects and AR elements are added, then video presentation quality is improved, but device processing power requirements increase
Solution Approach 1:
The system performs preliminary analysis of flight path data to pre-determine which AR effects and video enhancements are most appropriate for specific segments. This pre-planning allows the system to apply only necessary high-quality effects rather than processing all possible effects, reducing overall computational power requirements while maintaining superior video quality where it matters most.
Solution Approach 2:
The system applies different levels of processing quality to different video segments based on flight characteristics. High-quality AR effects and advanced editing are applied selectively to key moments identified from flight path analysis, while less critical segments receive simpler processing. This localized quality approach maintains overall video excellence while significantly reducing total processing power consumption.
3Ease of operation
If contextualized editing options based on flight path are provided, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system automatically analyzes flight path data and generates context-relevant editing suggestions and effect recommendations without requiring users to manually configure complex parameters. The system serves itself by autonomously determining appropriate edits based on flight characteristics, presenting users with simplified choices rather than overwhelming complexity, thus improving ease of operation while managing system complexity through automation.
Data Source
AI summary
Example systems, computer readable medium and methods include receiving a video taken from a drone where the drone followed a flight path based on a flight plan. A user interface is presented that provides options for the user to select video editing effects to be performed on the video where the options are based on the flight plan or flight path that was used to take the video. Additionally, after the video effects are applied to the video, a user interface is presented to the user to further edit the video where the user interface is customized in accordance with the video effects used to modify the video. Moreover, the user is presented with options for adding AR effects to the video where 2D body tracking and segmentation are used adding the AR effects.