AR Video Metadata Overlay for Obscured Geographic Features
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Solution Overview
Problem
Drones and other aerial vehicles capture video images of geographic areas that are often blurry, have poor resolution, or are obscured by cloud cover, making it difficult to discern landmarks and features.
Innovation Solution
A computing system obtains a video stream of a geographic area, inserts contextual metadata, such as historical information, into the video frames based on the field-of-view of the camera, allowing for the overlay of relevant information like building names and identifiers, enhancing visibility even in adverse conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drones capture video images of geographic areas, then video coverage is obtained, but the images are blurry and have poor resolution
Solution Approach 1:
The patent introduces metadata as an intermediary layer that overlays contextual information onto video frames. This metadata acts as a mediator between the poor-quality visual data and the user's need for clear identification, providing building names, landmarks, and other contextual details without requiring improvement of the actual video capture quality.
Solution Approach 2:
The system changes the parameter of information presentation by adding a metadata layer with different visual characteristics (text, icons, highlighted regions) that complement the degraded video footage. This allows the system to maintain the original video capture parameters while transforming the presentation parameters to improve usability.
2Area of stationary object
If drones capture video images through cloud cover, then geographic area coverage is obtained, but features are obscured and unidentifiable
Solution Approach 1:
The system performs preliminary actions by pre-capturing images at different times and pre-processing them to extract metadata. This metadata is then overlaid on current video frames, allowing features obscured by cloud cover to be identified through previously captured clear imagery and contextual information.
Solution Approach 2:
The patent uses copying by overlaying metadata from previously captured clear images onto current obscured video frames. This creates a composite view where the metadata layer copies essential feature information from times when conditions were favorable, making obscured features detectable.
3Difficulty of detecting and measuring
If contextual metadata is overlaid on video frames, then feature identification is improved, but system complexity increases
Solution Approach 1:
The metadata system serves multiple functions simultaneously: it provides building identification, landmark recognition, contextual information, and compensation for poor image quality. This multi-functionality reduces the need for separate systems for each function, thereby managing complexity while achieving comprehensive feature identification.
Data Source
AI summary
In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.