RoI-Matched Video Display Using Historical LoS Segments
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Solution Overview
Problem
Platforms without Enhanced Vision Systems (EVS) or those experiencing poor image quality due to weather or light conditions face degraded situational awareness, necessitating a method to improve operator awareness using previously captured video segments.
Innovation Solution
A system and method that utilize a data repository of previously captured video segments with metadata indicating the Line-of-Sight (LoS) of the sensor, allowing for the identification and display of Region-of-Interest (RoI) matching video segments on an operating platform, adjusted to compensate for current LoS differences, and blended with real-time or Synthetic Vision System (SVS) videos to enhance situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If previously captured video segments are used to improve situational awareness, then image quality is improved, but time delay increases
Solution Approach 1:
The system captures and stores video segments during previous operations when conditions were favorable, preparing them in advance for future use. This preliminary action allows the system to have pre-processed, high-quality video segments ready for immediate retrieval and display when needed, reducing the effective time delay.
Solution Approach 2:
The system creates and stores copies of video segments from previous operations in a data repository. These copies can be retrieved and displayed without requiring real-time capture, allowing the operator to view high-quality historical footage that accurately represents past conditions while minimizing the time penalty through efficient storage and retrieval mechanisms.
2Reliability
If previously captured video segments from different platforms are used, then situational awareness is improved, but data integration complexity increases
Solution Approach 1:
The system is designed to accept and process video segments from multiple different platforms and sources, creating a universal data repository that can store heterogeneous video data. The system applies consistent processing and metadata tagging to all incoming video segments regardless of source, enabling multi-functional use of the repository for various platforms and operational contexts.
Solution Approach 2:
The system introduces a standardized metadata layer and processing intermediary that mediates between diverse video sources and the display system. By converting all incoming video segments into a common format with standardized metadata (including LoS information, timestamps, and quality metrics), the system simplifies integration complexity while maintaining reliability of situational awareness.
3Measurement precision
If video segments are adjusted to compensate for LoS differences, then accuracy is improved, but processing complexity increases
Solution Approach 1:
The system changes key parameters of the video segments including Line-of-Sight (LoS) compensation, temporal alignment, and spatial transformation. By systematically adjusting these parameters to match current operational conditions, the system improves accuracy while managing processing complexity through automated parameter transformation algorithms.
Solution Approach 2:
The system replaces manual LoS adjustment and video alignment procedures with automated computational algorithms. The processing resource automatically calculates and applies LoS compensation, temporal synchronization, and spatial transformation, substituting complex manual mechanical adjustment processes with efficient digital signal processing and image warping algorithms.
Data Source
AI summary
A system for displaying videos, comprising a processing resource configured to: provide a data repository comprising a plurality of previously captured video segments (PCVSs) captured during previous operations of corresponding platforms, each being associated with metadata indicative of a Line-of-Sight (LoS) of a sensor, carried by the corresponding platform of the platforms used to capture the corresponding PCVS, with respect to a fixed coordinate system established in space, during capturing the corresponding PCVS; obtain an indication of a Region-of-Interest (RoI); identify one or more of the PCVSs that include at least part of the RoI, utilizing the LoSs associated with the PCVSs, giving rise to RoI matching PCVSs; and display at least part of at least one of the RoI matching PCVSs, being displayed RoI matching PCVSs, on a display of an operating platform to an operator of the operating platform during a current operation of the operating platform.