Video Georegistration via Key Frame Segmentation
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Solution Overview
Problem
Conventional systems and methods for georegistration of videos face challenges such as visual variations, minimal structured content, noise, and changes in rotation, scale, and perspective, which they are unable to effectively address, especially when dealing with images or videos from sources like satellites with varying sensor modes and environmental conditions.
Innovation Solution
A method and system for video georegistration that uses one or more reference images to perform calibration and georegistration at a dynamic frame rate, employing techniques like Harris Corner detection and the Levenberg-Marquardt nonlinear algorithm to generate a video georegistration transform, allowing for accurate alignment and registration of video frames despite challenges like lighting and temporal changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional georegistration methods are used to process all video frames, then comprehensive coverage is achieved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent segments video frames into two categories: key frames (I-frames) and non-key frames (P-frames or B-frames). Georegistration is performed only on key frames which occur less frequently, while non-key frames are processed using motion compensation and interpolation. This segmentation reduces the number of frames requiring full georegistration processing while maintaining overall video alignment accuracy.
Solution Approach 2:
The patent performs preliminary georegistration on key frames to establish a reference transformation. This preliminary action creates a baseline that can be used to guide subsequent processing of non-key frames, reducing the computational burden on each individual frame while maintaining cumulative accuracy throughout the video sequence.
2Measurement precision
If georegistration is performed on every video frame, then alignment accuracy is maximized, but computational complexity and processing load increase
Solution Approach 1:
The patent implements dynamic frame rate processing where the georegistration operation is applied at varying rates depending on frame type. Key frames receive full georegistration processing while non-key frames receive reduced processing through motion estimation and compensation techniques. This dynamic approach adapts the processing intensity to the actual needs of each frame type.
Solution Approach 2:
The patent changes the processing parameters based on frame type. For key frames, full georegistration algorithms with high computational requirements are applied. For non-key frames, simplified algorithms with lower computational requirements are used, leveraging motion vectors and temporal correlations from adjacent frames. This parameter change optimizes the balance between accuracy and complexity.
3Manufacturing precision
If reference georegistration is performed at high frame rate, then video quality is improved, but processing speed decreases
Solution Approach 1:
The patent applies reference georegistration periodically at key frames rather than continuously at every frame. This periodic application occurs at intervals corresponding to the key frame rate, which is lower than the full video frame rate. Between key frames, lighter processing operations maintain video quality without requiring full reference georegistration, thus preserving processing speed.
Solution Approach 2:
The patent maintains continuous useful action through motion compensation and interpolation between key frames. While full reference georegistration is applied periodically, lighter processing operations continue between these points to maintain video alignment and quality, ensuring that the useful action of georegistration continues without interruption but at varying intensities.
Data Source
AI summary
Systems and methods for video georegistration are provided. An example method includes receiving an input video including a plurality of video frames; calibrating a first set of video frames selected from the plurality of video frames to generate a first set of calibrated video frames using a calibration transform; and performing one or more reference georegistrations to a second set of video frames selected from the plurality of video frames to generate a video georegistration transform using the second set of video frames. The second set of video frames have fewer video frames than the first set of video frames. The method further includes generating an output video using the calibration transform and the video georegistration transform.