Video Cross-Talk Estimation via Computational Subtraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Visual-collaborative systems face challenges with video cross-talk, where content displayed for a local user is captured by a camera and delivered to a remote user, often exacerbated by unsynchronized media streams, and existing solutions like multiplexing have performance and cost limitations.
Innovation Solution
The implementation of a video cross-talk reducer that uses forward modeling to estimate and subtract video cross-talk signals from captured images without requiring optical hardware or synchronization hardware, employing algorithms to separate desired and undesired signals based on principles of linearity and color, geometric, and spatial transformations.
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 is reduced, but device complexity and cost increase
Solution Approach 1:
The patent replaces optical hardware systems (polarization filters, wavelength filters, temporal multiplexing hardware) with a computational image processing system. The method uses algorithmic approaches including gradient computation, linearity assumptions, and color transformation to separate cross-talk from desired video content, eliminating the need for complex optical hardware while achieving cross-talk reduction
Solution Approach 2:
The patent extracts and removes the harmful cross-talk component from the captured video signal through computational methods. By modeling the cross-talk as a separable component based on gradient analysis and linearity principles, the system isolates and eliminates the unwanted displayed content from the camera capture, keeping only the desired video feed
2Object-affected harmful factors
If multiplexing methods are used to reduce video cross-talk, then video cross-talk is reduced, but cost increases
Solution Approach 1:
The patent employs standard off-the-shelf camera and display hardware that can be manufactured and deployed at low cost. Instead of requiring expensive specialized optical components, the solution uses readily available devices combined with software-based processing, making the system economically viable for widespread deployment
Solution Approach 2:
The patent replaces expensive optical hardware (polarization optics, wavelength filters, temporal multiplexing devices) with computational algorithms running on standard processors. This substitution dramatically reduces system cost while maintaining cross-talk reduction effectiveness
3Device complexity
If unsynchronized media streams are used in visual-collaborative systems, then system complexity is reduced, but video cross-talk becomes more complex to manage
Solution Approach 1:
The patent implements a self-adjusting computational method that automatically adapts to unsynchronized media streams. The gradient-based cross-talk estimation and removal algorithm dynamically adjusts to timing variations between display and capture without requiring external synchronization signals or hardware, making the system robust to timing variations while maintaining cross-talk reduction performance
Data Source
AI summary
A video cross-talk estimator comprising a visual input signal receiver configured to receive a visual input signal, a capture signal receiver configured to receive a capture signal, and a signal based video-cross talk determiner configured to estimate video cross-talk based on at least two frames of the visual input signal. The estimation of the video cross-talk is signal based.