Image Object Alteration Rules for Automatic Privacy Protection
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Solution Overview
Problem
Existing image capturing and sharing technologies lack user-controlled options for selectively altering or removing specific objects in images, relying on manual editing or ineffective pixel-level perturbations that fail to prevent recognition by trained systems.
Innovation Solution
A privacy system that dynamically applies user-defined alteration rules to images, determining whether and how to alter objects based on predefined rules, including replacement or see-through methods, ensuring privacy preferences are honored across image-display ecosystems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual editing is used to alter objects in images, then privacy control is achieved, but user convenience and time efficiency deteriorate
Solution Approach 1:
The system automatically detects objects in images and applies alteration rules without requiring manual user intervention. The privacy system processes images autonomously by identifying objects matching predefined criteria and applying appropriate alterations, thereby eliminating the need for manual editing while maintaining privacy control.
Solution Approach 2:
Users pre-configure alteration rules and object criteria before image processing. The system stores these predefined rules and automatically applies them when processing images, eliminating the need for real-time manual editing and ensuring consistent privacy protection across multiple images.
2Reliability
If pixel-level perturbations are applied to images, then some privacy protection is provided, but effectiveness against trained recognition systems deteriorates
Solution Approach 1:
The system extracts and removes specific identifiable objects from images based on predefined alteration rules. Instead of applying subtle perturbations that leave recognition possible, the system completely removes or alters target objects (such as faces or identifiable features), thereby eliminating recognition accuracy while maintaining privacy protection.
3Productivity
If automatic alteration rules are applied to images, then privacy control and time efficiency are improved, but system complexity increases
Solution Approach 1:
The privacy system is divided into distinct functional modules: object detection module, rule evaluation module, and alteration application module. Each module performs a specific task independently, making the overall complex system manageable through clear separation of concerns and specialized processing at each stage.
Solution Approach 2:
The system employs a universal alteration rule engine that can handle multiple types of objects and alteration scenarios through a single unified framework. By designing alteration rules that can apply to various object types and contexts, the system reduces complexity compared to having separate specialized systems for each privacy scenario.
Data Source
AI summary
One embodiment provides a method, including: receiving, at a privacy system, an image comprising an object; determining, using a processor, whether an alteration rule for presentation of the object is applicable to the image; and transmitting, responsive to determining that the alteration rule is applicable to the image, an indication to at least one image-display destination of an alteration to the object based on the alteration rule. Other aspects are described and claimed.