Geospatial Metadata Correction for Multi-Source Video Feeds
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Solution Overview
Problem
Existing systems face challenges in effectively processing and displaying georeferenced video feeds, particularly in managing varying geospatial accuracy levels and providing intuitive situational awareness, especially when dealing with multiple video sources and missing metadata.
Innovation Solution
A video processing system that includes a video ingest module, a video processor for image registration and metadata correction, and a geospatial database to manage and display georeferenced video feeds, using high-accuracy feeds to correct lower-accuracy feeds and fill in missing metadata, while also overlaying relevant metadata onto the video frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple georeferenced video feeds with varying geospatial accuracy levels are processed, then situational awareness and tracking capability are improved, but system complexity and data management difficulty increase
Solution Approach 1:
The system segments the geospatial metadata correction process by identifying individual video feeds with missing or inaccurate metadata and pairing them with reference feeds that have accurate metadata. This allows the complex task of correcting multiple feeds with varying accuracy levels to be broken down into manageable pair-wise corrections, improving situational awareness while controlling system complexity through structured processing.
Solution Approach 2:
The system introduces geospatial metadata as an intermediary element that mediates between the video feeds and the correction process. By extracting and comparing geospatial metadata from reference feeds and applying it to target feeds, the system manages the complexity of processing multiple feeds with varying accuracy levels in a systematic manner, thereby improving reliability without proportionally increasing complexity.
2Measurement precision
If geospatial metadata is corrected using image registration, then position accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-identifying reference video feeds with accurate geospatial metadata before the correction process begins. This preliminary selection and preparation of reference feeds allows the subsequent image registration and metadata correction to proceed more efficiently, improving position accuracy while minimizing the time required for processing multiple feeds.
Solution Approach 2:
The system changes the parameter approach by shifting from processing every video feed independently to a comparative approach where reference feeds with known accurate metadata are used to correct target feeds. This parameter change in the correction methodology improves position accuracy while reducing processing time by leveraging existing accurate data rather than performing computations on all feeds equally.
3Loss of information
If geospatial metadata is extracted and corrected from multiple video feeds, then data completeness is improved, but information management complexity increases
Solution Approach 1:
The system merges the geospatial metadata correction functionality into an integrated process that handles multiple video feeds simultaneously. By combining the extraction, comparison, and correction operations into a unified system that processes feeds together rather than separately, the system improves data completeness across multiple sources while managing information management complexity through consolidation rather than multiplication of independent processing tasks.
Data Source
AI summary
A video processing system may include a video ingest module for receiving a plurality of georeferenced video feeds each including a sequence of video frames and initial geospatial metadata associated therewith, and each georeferenced video feed having a respective different geospatial accuracy level associated therewith. The system may further include a video processor coupled to the video ingest module and configured to perform image registration among the plurality of georeferenced video feeds, and generate corrected geospatial metadata for at least one of the georeferenced video feeds based upon the initial geospatial metadata, the image registration and the different geospatial accuracy levels.