Automatic Content Tagging System for User-Generated Media
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Solution Overview
Problem
Current content management systems lack efficient automated methods for tagging and managing vast amounts of user-generated content, such as images and videos, which often lack descriptive information, making it difficult to provide context and restrict access or remuneration related to the content.
Innovation Solution
A system that enables automatic content tagging by associating content tags with objects within captured content, using sensors and scanners to provide object information, and manages permissions for access and ownership, allowing secure distribution and remuneration for content creators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual content tagging is used, then content can be accurately described, but the process is time-consuming and cannot scale with large volumes of user-generated content
Solution Approach 1:
The system enables automatic content tagging where the content itself (through its metadata, visual analysis, or associated data) provides the tagging information without requiring manual intervention. The content management system automatically processes and tags content based on its inherent properties or extracted features, eliminating the need for manual description while maintaining accuracy.
Solution Approach 2:
The patent replaces manual mechanical tagging processes with automated computational systems that use algorithms, machine learning models, or data processing techniques to automatically generate tags. This substitution eliminates human labor while maintaining or improving tagging efficiency and scalability.
2Productivity
If automated content tagging is implemented, then tagging speed increases, but the system complexity increases
Solution Approach 1:
The content management system is designed to perform multiple functions through a unified platform, including automatic tagging, content storage, access control, and remuneration management. By consolidating these functions into a single system rather than separate components, the patent reduces overall system complexity while maintaining high productivity.
Solution Approach 2:
The system introduces an intermediary content management platform that sits between content creators and content consumers, automatically handling tagging and access control. This intermediary layer simplifies the interactions for both users while managing the complexity of automated processing and permission management centrally.
3Reliability
If content access permissions are strictly controlled, then content security is improved, but access efficiency decreases
Solution Approach 1:
The system performs preliminary actions by pre-establishing access permissions, content metadata, and tagging information before content is accessed. Users can be pre-authenticated and authorized levels can be pre-configured, allowing for rapid access decisions without real-time complex evaluations, thus maintaining both security and efficiency.
Solution Approach 2:
The content management system implements feedback mechanisms that automatically adjust access control based on user behavior, content popularity, or security events. This allows the system to maintain strong security through continuous monitoring while improving access efficiency by adapting permissions dynamically based on trusted user patterns and contextual information.
4Loss of information
If content metadata is enriched with detailed information, then content context is improved, but data storage requirements increase
Solution Approach 1:
The system applies local quality by storing detailed metadata and enrichment information only where and when needed, rather than uniformly across all content. Important contextual information is retained locally with specific content items that require it, while other content maintains minimal metadata, optimizing the balance between information completeness and storage efficiency.
Solution Approach 2:
The patent implements partial action by selectively enriching content metadata only for content that requires additional context, such as content that will be subject to access control, remuneration, or enhanced search. Not all content is uniformly enriched, reducing overall storage requirements while maintaining context completeness where necessary.
Data Source
AI summary
A content tagging and management capability is provided for enabling automatic tagging of content and management of tagged content. A registration capability is provided for enabling creation of a user account and association of information with the user account where the information is adapted for supporting automatic content tagging and management of tagged content. An object information management capability is provided for enabling access to object information which may be used when automatically tagging content. A tagged content access capability is provided for enabling access to an information structure by an end user viewing tagged content. A tagged content ownership management and remuneration capability is provided for enabling management of content ownership for tagged content of end users and for managing associated remuneration which may be provided to end user when tagged content is accessed.