Two-Channel Detector for Video Content Replacement
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Solution Overview
Problem
Current systems face challenges in accurately and efficiently detecting target areas within video images for content replacement, particularly in live television broadcasts, where defining these areas is difficult due to obstacles and dynamic environments.
Innovation Solution
A two-channel detector system using narrow-band filtering to enhance contrast between detected channels, allowing for precise identification of target areas by producing a mask signal that distinguishes between first and second wavelength bands, enabling accurate content substitution in video images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-channel detector system is used to detect target areas in video images, then the device complexity is reduced, but the measurement precision and reliability of target area detection deteriorates due to insufficient contrast between target and background
Solution Approach 1:
The detection system is segmented into two separate detection channels, each detecting different wavelength bands (first wavelength band and second wavelength band). This segmentation allows each channel to specialize in detecting specific spectral characteristics of the target area, thereby improving overall detection precision while managing complexity through modular architecture
Solution Approach 2:
The system transitions from single-dimensional detection (one wavelength band) to two-dimensional detection (multiple wavelength bands). By adding the spectral dimension, the system can distinguish target areas from background with higher precision, as the target reflects differently across wavelength bands compared to surrounding areas
2Measurement precision
If broad-band filtering is used in the detector system, then the device complexity is reduced, but the measurement precision of target area identification deteriorates due to reduced contrast between detected channels
Solution Approach 1:
The filtering system applies local quality by using narrow-band filters with specific spectral characteristics tailored to the target's reflectance properties. Each filter is designed to pass only specific wavelength ranges that maximize the contrast between target and background, rather than using broad-band filters that treat all wavelengths equally
Solution Approach 2:
The system changes the spectral parameters by selecting specific wavelength bands for detection. The first and second wavelength bands are chosen based on the target's spectral reflectance characteristics, optimizing the contrast between target and background for accurate identification
3Reliability
If multi-wavelength detection is implemented, then the reliability of target area detection is improved, but the ease of operation and system setup deteriorates due to complex calibration and alignment requirements
Solution Approach 1:
The detector system is designed with multi-functionality to handle multiple wavelength bands simultaneously using a single integrated detection platform. This universal approach allows the system to detect both first and second wavelength bands through coordinated channels, improving reliability while reducing the need for multiple separate detection systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively and reliably identifies target areas, enabling photo-realistic replacement of content, such as billboard advertisements, across multiple broadcast feeds tailored for different audiences, even in challenging conditions like live events with fast-moving obstacles.
Implementation Method 1
a filter to absorb electromagnetic radiation specifically in a first wavelength band
Data Source
AI summary
A subject, such as a billboard, has a filtering film to absorb electromagnetic radiation specifically in a first wavelength band. A detector provides a first detector signal relating to the first wavelength band and a second detector signal relating to another, different, second wavelength band, respectively. Suitably, the subject appears with high intensity in one band and with low intensity in the other. A content replacement unit produces a mask signal by identifying regions of contrast between the first and second detector signals as target areas. A content substitution unit selectively replaces the target areas with alternate image content to generate modified video images. The system is useful, for example, to generate multiple live television broadcasts each having differing billboard advertisements.