Spatial Image Registration System for Video Stream Alignment
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Solution Overview
Problem
Conventional video combiners face misalignment issues due to lack of synchronization between video sources, leading to data loss and distortion during compression and decompression, affecting the alignment of combined video streams.
Innovation Solution
The Spatial Image Registration System (SIRS) uses detection methods and image transformations to align multiple video streams by introducing detection points and symbols within the images, ensuring proper alignment and synchronization, even in virtual interactive presence scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video combiners combine video from two separate sources using multiplexing and media combining technology, then video transmission efficiency is improved, but alignment precision deteriorates due to lack of synchronization between video sources
Solution Approach 1:
The patent applies preliminary action by pre-processing each video stream to insert detection patterns and registration features before combining. This allows the system to establish alignment relationships in advance, enabling accurate spatial registration of multiple video streams without compromising transmission efficiency
Solution Approach 2:
The patent uses detection patterns and registration features as intermediary elements to mediate between multiple video streams. These intermediaries serve as reference points that enable the system to calculate transformation parameters and achieve precise alignment despite the streams coming from different sources
2Productivity
If data compression and decompression algorithms are applied to video streams, then transmission efficiency is improved, but image quality deteriorates due to data loss and resolution changes
Solution Approach 1:
The patent implements feedback by using detection patterns and registration features as reference markers that survive compression. These features provide feedback information about the original image geometry, enabling the system to compensate for compression-induced distortions and restore accurate spatial relationships in the combined video output
3Device complexity
If multiple video streams are combined without synchronization, then system complexity is reduced, but alignment accuracy deteriorates
Solution Approach 1:
The patent applies self-service by enabling each video stream to carry its own detection patterns and registration features, which automatically provide alignment information when combined. This self-contained approach eliminates the need for complex external synchronization systems while maintaining high alignment accuracy through the inherent registration data in each stream
Data Source
AI summary
Provided herein are methods and systems for image registration from multiple sources. A method for image registration includes rendering a common field of interest that reflects a presence of a plurality of elements, wherein at least one of the elements is a remote element located remotely from another of the elements and updating the common field of interest such that the presence of the at least one of the elements is registered relative to another of the elements.