Automated Social Circle Generation via Image Analysis
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Solution Overview
Problem
Existing social grouping techniques are manual and do not automate the identification of social contexts, making it difficult to efficiently connect individuals with their social circles and manage relationships across various applications.
Innovation Solution
An automated social relationship identification system utilizing image processing and facial recognition to analyze media content, extract attributes, and generate social circles, which can be used for security, personal assistance, and law enforcement purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual grouping is used to create social circles, then users can categorize individuals into groups, but the process is time-consuming and does not automatically identify social contexts
Solution Approach 1:
The system automatically processes user media content (photos, videos) to identify individuals and generate social circles without requiring manual user input. The image recognition and analysis components autonomously extract attributes, identify relationships, and create social groupings, allowing the system to serve itself rather than requiring continuous manual intervention.
Solution Approach 2:
The patent replaces the manual mechanical process of user categorization with automated image processing and analysis systems. Instead of users manually sorting contacts into groups, the system uses computer vision algorithms, facial recognition, and attribute extraction to automatically generate social circles based on visual content analysis.
2Productivity
If manual identification of individuals is required, then users can assign people to groups, but it is difficult to efficiently manage relationships across various applications
Solution Approach 1:
The system performs preliminary analysis of media content to pre-identify individuals, extract attributes, and establish social connections before they are needed. By processing images and videos in advance to build relationship data structures, the system prepares social circle information ready for immediate use across applications, eliminating the need for time-consuming manual grouping when relationship management is needed.
Solution Approach 2:
The generated social circles and relationship data are designed to be universally applicable across multiple applications including social networking, security access control, law enforcement investigations, and personal assistance services. A single automated analysis process creates relationship structures that serve multiple functions and applications simultaneously, improving overall productivity.
3Ease of operation
If automated image processing is used to generate social circles, then connection management is improved, but the system complexity increases
Solution Approach 1:
The complex image processing system is divided into distinct functional modules: image recognition components that identify individuals, attribute extraction components that analyze visual features, relationship determination components that infer social connections, and social circle generation components that organize results. This segmentation allows each module to specialize in a specific task, making the overall complex system easier to operate and maintain while achieving automated connection management.
Data Source
AI summary
The examiner has taken the exact language in WO 2015/094370 A1 to transcribe it: Systems, apparatus, and methods to determine relationships, group memberships, and social networks and circles automatically through an analysis of media content, such as photos or videos, and ascertaining the connections between individuals or groups. Embodiments include identifying individuals in photos with or without other people in different situations, and developing a context based on objects in the photo. The extracted context may be stored in a predefined ontology structure in a database and analyzed to determine relationships or group memberships. A database of automatically determined relationships may be analyzed in order to provide relationship recommendations, social advice, or to support law enforcement investigations. The database may be continuously updated with additional information provided by individuals or obtained through a secondary social network that includes user media or social information.