Video Cross-Talk Reduction via Forward Modeling
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Solution Overview
Problem
Visual-collaborative systems face challenges in reducing video cross-talk, which occurs when content displayed for a local user is also captured by a camera for delivery to a remote user, due to limitations in existing methods such as multiplexing and polarization, leading to performance and cost issues with hardware requirements.
Innovation Solution
A method that uses forward modeling to estimate and reduce video cross-talk by mapping the propagation of signals through the system, allowing for correction of camera output without requiring optical or synchronization hardware, utilizing principles of linearity and characterizing photometric, geometric, and optical factors to subtract interfering signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If multiplexing methods (temporal, wavelength, polarization) are used to reduce video cross-talk, then video cross-talk reduction is achieved, but hardware complexity and cost increase
Solution Approach 1:
The patent replaces optical hardware systems (polarization filters, wavelength filters, synchronization hardware) with a computational signal processing system. The method uses forward modeling to estimate cross-talk and subtract it from the captured signal, eliminating the need for complex optical multiplexing hardware while achieving comparable or superior cross-talk reduction performance.
Solution Approach 2:
The patent creates a computational model (forward model) that replicates the cross-talk generation process. By modeling how display content propagates through the system and appears as cross-talk in camera captures, the system can accurately estimate and remove the interfering signal without requiring physical hardware to prevent it in the first place.
2Object-affected harmful factors
If polarization or wavelength multiplexing is used to reduce video cross-talk, then cross-talk reduction is achieved, but cost increases
Solution Approach 1:
The patent replaces expensive, specialized optical components (polarization-maintaining displays, wavelength-selective cameras, synchronization hardware) with standard off-the-shelf display and camera devices combined with computational processing. This approach uses inexpensive, readily available components to achieve the same cross-talk reduction function.
3Object-affected harmful factors
If temporal multiplexing with synchronization hardware is used, then video cross-talk is reduced, but device complexity and synchronization requirements increase
Solution Approach 1:
The patent replaces temporal synchronization hardware with a computational approach that works with continuously captured signals. Instead of coordinating display and camera operation in time, the system models the cross-talk generation process and removes it from the captured signal, eliminating synchronization hardware entirely.
Data Source
AI summary
A visual-collaborative system including a display screen configured to display images and a camera configured to capture images. The system also includes a video cross-talk reducer configured to estimate video cross-talk that is to be displayed on the display screen and captured by the camera, and reducing the estimated video cross-talk from captured images by the camera. The estimation of the video cross-talk and reduction of the video cross-talk is signal based.