Protected Information Visibility Modification in Video Frames
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Solution Overview
Problem
Electronic devices face challenges in securely sharing content during videoconferences, as protected information such as personal data or security data can inadvertently be exposed, leading to security breaches and distractions.
Innovation Solution
The electronic device modifies the visibility of protected information within frames by analyzing content using image processing techniques, determining labels, and comparing them to a list of protected information labels. It then applies modifications such as pixel intensity changes or overlays to reduce the visibility of protected areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is shared during videoconferences, then communication effectiveness is improved, but protected information may be inadvertently exposed leading to security breaches
Solution Approach 1:
The system performs preliminary analysis of the content frame before sharing occurs. Image processing techniques detect protected information such as personal data, security data, and confidential information in advance, allowing the system to prepare appropriate redaction measures before the content is transmitted to other participants.
Solution Approach 2:
The system applies different visibility treatments to different regions of the shared content. Protected information areas are selectively redacted or blurred while leaving the rest of the content visible and intact. This allows communication to continue effectively while specifically protecting sensitive regions from exposure.
2Reliability
If image processing techniques are applied to detect protected information, then security is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies image processing techniques selectively rather than to all content uniformly. It focuses processing on regions where protected information is likely to appear, such as areas containing text or structured data patterns, thereby reducing overall processing time while maintaining security effectiveness.
Solution Approach 2:
The system replaces complex, time-consuming manual security review processes with automated image processing and pattern recognition algorithms. These computational methods can rapidly analyze content frames and identify protected information without requiring human intervention, significantly reducing processing time.
3Reliability
If visibility of protected information is modified through redaction or blurring, then security is improved, but information completeness is reduced
Solution Approach 1:
The system modifies visibility only in specific local regions where protected information is detected, rather than applying blanket redaction to entire frames or documents. This preserves the completeness and usability of non-sensitive portions of the shared content while protecting only the necessary sensitive areas.
Solution Approach 2:
The system segments the shared content into protected and non-protected regions, applying different visibility treatments to each segment. This allows the majority of the content to remain fully visible and complete for communication purposes, while only the specific protected segments are redacted or blurred.
Data Source
AI summary
In some examples, an electronic device includes a processor to determine an image frame includes protected information, the image frame having a first visibility, and modify, responsive to the determination, an area of the protected information to have a second visibility.