Content Activation via Recognition Engine and Policy
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Solution Overview
Problem
Existing content management systems fail to efficiently activate content related to recognized objects while respecting the rights of content owners, requiring burdensome user interactions and lacking effective activation policies.
Innovation Solution
A content activation system that uses a recognition engine to derive a descriptor set from image data, which is then used to identify and apply activation policies, configuring output devices to render or unlock associated content based on these policies, including rights management for digital rights enforcement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user interactions are required to enforce access rights and accept terms of service, then content protection is ensured, but user convenience deteriorates
Solution Approach 1:
The system performs preliminary actions by embedding rights management information and activation codes within the content and metadata before distribution. When content is accessed, the system automatically retrieves and verifies these pre-prepared security elements, eliminating the need for users to manually accept terms or enter security codes at the moment of access.
Solution Approach 2:
The rights management system operates autonomously by automatically detecting the user's license status, verifying access rights, and enforcing content protection policies without requiring user intervention. The system self-manages the entire authentication and authorization process, from retrieving license information to determining content accessibility.
2Reliability
If manual security code entry and terms of service acceptance are required, then content licensing is enforced, but user interaction burden increases
Solution Approach 1:
The system replaces manual mechanical interactions (typing security codes, clicking acceptance buttons) with automated electronic processes. The rights management system electronically retrieves license information, automatically verifies authentication data, and programmatically enforces access control decisions, substituting user manual operations with automated computational processes.
3Adaptability or versatility
If context information is gathered from user data and browsing history, then relevant content can be supplied, but user privacy concerns increase
Solution Approach 1:
The system extracts only the specific context information necessary for content activation and rights management from user data, separating this essential information from broader user browsing history and personal data. By taking out only what is needed for the activation policy determination, the system maintains content relevance while minimizing privacy intrusion.
Data Source
AI summary
A content activation system is presented. A recognition engine is configured to obtain a descriptor set associated with an identified object represented within a digital representation. A content management module can be coupled with the recognition engine. The content management module can be configured to: obtain the descriptor set from the recognition engine, identify at least one content activation policy as a function of the descriptor set, identify a content set associated with an identified object and based on the descriptor set, and configure an output device to activate (e.g., release, render, present, interact, etc.) the content set according to the activation policy.