Geo-Location Tagged Video On Demand System
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Solution Overview
Problem
Current systems for remote video surveillance and reconnaissance lack the ability to provide on-demand, geo-location tagged video frames from aerial platforms, limiting the capability for real-time, spatially specific imagery retrieval and analysis.
Innovation Solution
A method and system that receive a stream of video frames, insert geo-location data into the frames, and output modified frames, utilizing Tactical Common Data Link (TCDL) electronics and mast-mounted assemblies on aerial vehicles to enable video on demand, allowing remote users to access specific video and data products based on time and space coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video frames are transmitted from aerial platforms without geo-location tagging, then transmission bandwidth is conserved, but the capability for spatially specific imagery retrieval and analysis is limited
Solution Approach 1:
Geo-location data is inserted into video frames in advance during transmission from the aerial platform, rather than being added later during retrieval. This preliminary tagging ensures spatial context is preserved without requiring additional processing steps during on-demand retrieval, efficiently solving the contradiction between information preservation and data volume.
2Ease of operation
If geo-location data is inserted into every video frame, then real-time spatially specific imagery retrieval is enabled, but processing complexity increases
Solution Approach 1:
A standardized data insertion mechanism acts as an intermediary between the video capture system and the retrieval system. This intermediary layer handles geo-location data integration in a uniform manner, simplifying the overall system architecture and making on-demand retrieval operations easier to implement despite the added data processing requirements.
3Reliability
If full-motion video with geo-location tagging is provided on demand, then surveillance and reconnaissance capabilities are enhanced, but system resource consumption increases
Solution Approach 1:
The system enables self-service on-demand video retrieval where users can independently access and analyze geo-tagged video frames without requiring continuous real-time transmission from the aerial platform. This allows video to be stored and retrieved locally, significantly reducing the energy consumption of the moving aerial platform while maintaining reliable surveillance capabilities.
Data Source
AI summary
An exemplary method for processing and outputting video frames includes receiving a stream of video frames, inserting geo-location data into a video frame to generate a modified video frame, and outputting the modified video frame. An exemplary system includes an antenna which receives a stream of video frames, a processor which inserts geo-location data into a video frame to generate a modified video frame, and an output for outputting the modified video frame.