Multimedia Privacy Masking via Modular Detection and Modification
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Solution Overview
Problem
Current messaging services lack the ability to automatically or semi-automatically mask personally identifiable elements in multimedia content in real-time or near real-time, failing to provide users with adequate privacy and anonymity during communication, especially in video conferencing scenarios.
Innovation Solution
A system and method that utilize a multimedia capture module, identification module, modification module, and messaging API to capture, identify, and modify personally identifiable elements such as faces, body parts, and audio in multimedia content, allowing for real-time or near real-time masking through techniques like blurring, pixilating, and audio processing, with options for manual or semi-automatic selection and modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time masking of personally identifiable elements is implemented, then privacy protection is improved, but device complexity increases
Solution Approach 1:
The system divides the multimedia content processing into distinct modules: capture module for acquiring content, identification module for detecting personally identifiable elements, and modification module for applying masking. This segmentation allows each module to specialize in one function, improving privacy protection while managing complexity through modular design.
Solution Approach 2:
The identification module performs preliminary detection of personally identifiable elements before the modification module applies masking. This preliminary action ensures that only relevant elements are masked, improving privacy protection efficiency while reducing unnecessary processing complexity.
2Ease of operation
If automatic identification of personally identifiable elements is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The identification module automatically detects and identifies personally identifiable elements in multimedia content without requiring manual user input. The system serves itself by using built-in algorithms to recognize faces, bodies, and other identifiable elements, improving ease of operation while encapsulating complexity within the automated module.
3Adaptability or versatility
If multiple masking techniques are provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The modification module dynamically selects and applies different masking techniques (blurring, pixelating, overlaying) based on the type of personally identifiable element detected and user preferences. This dynamic adaptation provides versatility in masking methods while managing processing complexity through conditional logic rather than simultaneous implementation of all techniques.
Data Source
AI summary
The embodiments herein provide a method and system for masking personally identifiable elements in a captured multimedia content and communicating through an integrated messaging system. The method comprises capturing multimedia content, automatically or manually identifying and selecting content or coordinates of the personally identifiable elements for modification manually, automatically or semi-automatically, modifying the identified elements through a disfiguring or masking process selected from a group consisting of blurring, pixelating, pixel manipulation, modulating, deleting, hiding, applying several layers to an image or frame, superimposing an image or character, audio processing, and altering multimedia information, and displaying the modified multimedia on the second computing device. The modification is done internally at sender end, or externally at a central server or at a receiver end device. The multimedia content is modified and stored for sharing with another user at a later time. One or more elements of the multimedia content are modified.