User Identification Vector Updates for Image Privacy Control
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Solution Overview
Problem
In image-sharing environments, there is a need to manage privacy concerns for individuals who may not want to be photographed or want to access images featuring themselves, as existing technologies lack effective methods for blocking or modifying images based on user preferences.
Innovation Solution
A computer-implemented method and system that updates user identifiers by broadcasting a user identification vector including facial and additional characteristics, allowing modular computing devices to selectively block or permit image capture and sharing, using face embeddings and person embeddings to identify users and manage privacy requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user identification vectors are updated with additional characteristics from images, then user preference detection accuracy is improved, but device complexity and computational requirements increase
Solution Approach 1:
The system segments the user identification process into multiple components: facial characteristics extraction, additional characteristics extraction from images, and vector updates. This segmentation allows each component to be optimized independently and reduces overall system complexity while maintaining high detection accuracy.
Solution Approach 2:
The system implements feedback loops where image capture devices provide additional characteristics information back to modular computing devices, which then update user identification vectors. This feedback mechanism enables continuous improvement of detection accuracy without requiring complex one-time processing.
2Reliability
If image capture devices continuously monitor and update user identifiers, then real-time privacy control is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic action by updating user identification vectors at specific intervals or triggered by detected events rather than continuous monitoring. This allows real-time privacy control capability while significantly reducing energy consumption compared to continuous operation.
Solution Approach 2:
Modular computing devices autonomously manage user identification and privacy controls without requiring constant external intervention. The system self-updates user vectors and automatically enforces privacy preferences, reducing the need for energy-intensive continuous monitoring and manual control.
3Object-affected harmful factors
If the system blocks images based on user preferences, then user privacy protection is improved, but image sharing availability deteriorates
Solution Approach 1:
The system applies local quality by selectively blocking only specific images or image portions that violate user privacy preferences while allowing other images to be shared normally. This granular control maintains privacy protection without unnecessarily limiting overall image sharing availability.
Solution Approach 2:
The image sharing system dynamically adjusts its behavior based on real-time user preferences and identification data. When a user's preferences change or new images are captured, the system dynamically updates blocking decisions, allowing flexible privacy protection that adapts to user needs without creating permanent restrictions on image sharing.
Data Source
AI summary
Computer-implemented methods and systems of updating user identifiers in an image-sharing environment include features for facilitating blocking, permitting, sharing and/or modifying content such as images and videos. User identification vectors providing data representative of a user and information about one or more facial characteristics of the user are broadcasted by a modular computing device. Information about one or more additional characteristics of the user (e.g., body characteristics and/or contextual characteristics) as determined from images of the user obtained by one or more image capture devices are received. An updated user identification vector including the information about one or more additional characteristics of the user is stored at and subsequently broadcasted by the modular computing device.