Biometric User Identification in Multimedia Content
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Solution Overview
Problem
Existing methods for person identification in multimedia content face challenges such as appearance changes over time, distinguishing twins, ensuring privacy and security, and associating tags across different images/videos, which current technologies fail to address effectively.
Innovation Solution
A method and device that utilize biometric information like fingerprints, iris, and DNA to generate and associate user IDs with content, ensuring accurate identification and security by embedding these IDs into metadata or headers, and using encryption for secure storage and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If appearance-based identification methods are used, then the system is simple to implement, but it fails to accurately identify users across different images and videos due to appearance changes over time
Solution Approach 1:
The patent replaces appearance-based visual recognition with biometric information-based identification. Instead of relying on visual features that change over time, the system extracts and compares unique biometric characteristics (fingerprint, iris, retina, facial thermogram, or DNA information) to identify users, thereby achieving consistent and accurate identification across different media types.
2Measurement precision
If biometric information is collected and stored for user identification, then identification accuracy improves, but privacy and security concerns increase
Solution Approach 1:
The patent extracts only the necessary biometric information required for identification purposes and stores it in a structured mapping format. The system extracts unique biometric characteristics and associates them with user IDs, storing only the essential data needed for accurate identification while minimizing unnecessary data collection and storage.
3Productivity
If manual tagging methods are used for content association, then the process is simple, but it is inefficient and cannot accurately associate users with content across different media types
Solution Approach 1:
The patent replaces manual tagging processes with automated biometric-based identification and association. The system automatically extracts biometric information from content, identifies the corresponding user through the mapping information, and associates the content with the user ID, thereby significantly improving both efficiency and accuracy of user-content association across different media types.
Data Source
AI summary
An operation method for generating content including a user identification (ID), and an apparatus therefor are provided. The operation method of the device includes obtaining mapping information by making one or more pieces of biometric information for each of a plurality of users correspond to a user ID of each of the plurality of users, obtaining first content including a first user by photographing the first user, obtaining first biometric information of the first user, determining a first user ID corresponding to the first biometric information of the first user, based on the mapping information, and associating the first content with the first user ID, and storing the association of the first content with the first user ID.