Content Recognition Rule Engine for Copyright Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current content recognition systems lack flexibility and options for rights holders to manage copyrighted content on user-generated content platforms, failing to effectively allow legal use and enforce removal or advertising associated with copyrighted materials.
Innovation Solution
A system that stores and applies rules for content recognition, allowing geographical and temporal windowing, enabling specific actions based on the presence of copyrighted content, including separate rules for audio and video components, and supporting advertising and licensing options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current content recognition systems are used, then content can be recognized, but flexibility and options for rights holders to manage copyrighted content are insufficient
Solution Approach 1:
The patent segments content management into separate actionable entities (allow, remove, advertise) that can be independently configured and applied to different portions of content based on recognition results. This allows rights holders to manage different aspects of copyrighted content separately, enhancing flexibility without requiring a complete system redesign.
Solution Approach 2:
The system dynamically adjusts content management actions based on recognition confidence levels and configurable thresholds. Rights holders can define different actions for different confidence levels, allowing the system to adapt its behavior to the certainty of content recognition while maintaining manageable complexity through rule-based decision making.
2Adaptability or versatility
If flexible rules are implemented for content recognition, then rights holders can manage content effectively, but system complexity increases
Solution Approach 1:
The patent applies different management actions to different portions or aspects of recognized content based on local characteristics. For example, different confidence levels, content types, or time periods can trigger different actions (allow, remove, advertise), enabling精细化 management without requiring complex global rule sets.
Solution Approach 2:
The system allows rights holders to pre-configure management rules and actions before content recognition occurs. By establishing the framework of possible actions and decision logic in advance, the system reduces runtime complexity while maintaining flexibility in how content is managed based on recognition outcomes.
3Reliability
If content recognition and action system is implemented, then copyrighted content can be managed, but processing time and computational resources are consumed
Solution Approach 1:
The patent implements a tiered approach where the system can take partial actions based on recognition confidence levels. Instead of requiring absolute certainty before taking any action, the system can apply different levels of management (from simple metadata tagging to full removal) based on confidence thresholds, reducing processing time while maintaining enforcement effectiveness.
Solution Approach 2:
The system enables automated decision-making through pre-configured rules that allow content to be managed without constant human intervention. Once rights holders establish their preferences and thresholds, the system autonomously evaluates recognition results and applies appropriate actions, significantly reducing processing time while maintaining reliable copyright enforcement.
Data Source
AI summary
A method and a computer-readable storage medium configured with instructions that when executed to carry out the method, and a computer system configured to carry out the method. The method includes storing a set of rules in computer-interpretable form in a processing system. The rules allow the expression of a range of possibilities for determination of recognition of items of content and a wide range of actions to take when such determination is made. Using the rules, a processing system can recognize content and possibly act on the recognition results, the recognition and acting according to the stored set of rules.