Live Data Stream Claim Detection via Reference Stream Generation
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Solution Overview
Problem
Current methods for protecting and managing proprietary content in live data streams are inefficient, often leading to incorrect claims and lengthy dispute resolutions due to the inclusion of non-live segments, which can result in user dissatisfaction and delayed content distribution.
Innovation Solution
A system that generates reference data streams by removing non-live content from live data streams, allowing for accurate comparison with user-generated content to facilitate dispute management and claim detection, using components like reference stream generation and claim detection components to identify and manage claims with low latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of user uploaded data is performed to protect proprietary content, then content protection is achieved, but the process becomes very long and tedious
Solution Approach 1:
The patent replaces manual review processes with automated claim detection components that use data comparison algorithms. The system automatically compares user uploaded data against reference data streams to detect claims, eliminating the need for manual review while maintaining protection accuracy.
Solution Approach 2:
The system performs self-review by automatically detecting claims through computational comparison of data streams. The claim detection component independently analyzes uploaded content against reference streams without requiring human intervention, enabling the system to protect itself from infringement.
2Measurement precision
If live data streams include non-live segments for completeness, then content accuracy is improved, but incorrect claims are generated against proprietary content
Solution Approach 1:
The patent extracts and removes non-live segments (such as advertisements, flashbacks, and other non-proprietary content) from the live data stream to create a cleaned reference data stream. This extraction process ensures that only relevant proprietary content remains for claim detection, preventing incorrect claims against non-live segments.
Solution Approach 2:
The system segments the live data stream into distinct live content portions and non-live segments. By separating these segments, the system can accurately identify which portions should trigger claims and which should be excluded, improving both content identification accuracy and claim reliability.
3Reliability
If dispute resolution process is implemented to address incorrect claims, then claim accuracy is improved, but the process becomes lengthy and user uploaded data is blocked
Solution Approach 1:
The system performs preliminary action by pre-processing the live data stream to remove non-live segments before claim detection occurs. This preliminary cleaning of the reference data stream prevents incorrect claims from being generated in the first place, eliminating the need for lengthy dispute resolution processes and avoiding unnecessary data blocking.
4Reliability
If manual monitoring and review processes are used, then content protection is maintained, but the system becomes complex and time-consuming
Solution Approach 1:
The patent substitutes manual monitoring and review mechanisms with automated claim detection components that use computational algorithms. The system automatically compares uploaded data against reference streams using data processing components, replacing complex manual procedures with streamlined automated processes that maintain protection reliability while reducing system complexity.
Data Source
AI summary
Systems and methods for detection and dispute management of claims made against proprietary content in a live data stream are provided in this disclosure. The system includes a reference stream generation component that updates a set of reference data streams based on an identification of data that is associated with non-live content (e.g., advertisements, flashbacks, etc.). Moreover, user generated content is compared with the set of reference data streams to facilitate identify the claims and a partner-defined policy is applied to the user generated content to facilitate dispute management and/or resolution.


