Asset Association via Fingerprint Matching
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Solution Overview
Problem
Current data management systems struggle to automatically derive associations between related intellectual property assets, such as songs and their corresponding music videos, as owners often fail to provide necessary data, leading to missed opportunities for personalized content recommendations.
Innovation Solution
A system comprising a signature module, a matching module, and an association module that generates fingerprints for assets, matches them based on predefined rules, and associates related assets, enabling automatic identification of relationships without relying on owner-provided data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system requests owners to provide relationship data between assets, then association accuracy can be improved, but owner response rate deteriorates (owners frequently ignore requests)
Solution Approach 1:
The system performs self-service by automatically deriving associations between assets through fingerprint matching without requiring owner intervention. The signature module generates fingerprints, the matching module compares them across assets, and the association module creates relationships automatically, eliminating the need for owners to respond to requests.
Solution Approach 2:
The patent replaces the mechanical approach of manually requesting and collecting data from owners with an automated computational system. Instead of relying on human owners to provide relationship information, the system uses algorithmic fingerprint matching to automatically discover and establish associations between assets.
2Reliability
If manual data input is required from owners, then data quality can be improved, but system complexity deteriorates (requires communication infrastructure and manual processes)
Solution Approach 1:
The system eliminates complex manual data collection processes by implementing self-service automation. The signature module automatically extracts fingerprints from uploaded assets, the matching module autonomously compares these fingerprints against the database, and the association module automatically establishes relationships, removing the need for communication infrastructure and manual owner interactions.
3Productivity
If automated fingerprint matching is implemented, then productivity can be improved (automatic association derivation), but measurement precision may deteriorate (difficulty in detecting and measuring relationships)
Solution Approach 1:
The patent replaces manual relationship assessment with automated fingerprint-based detection. The signature module converts asset content into comparable fingerprint representations, the matching module uses algorithmic comparison to identify matches with configurable thresholds, and the association module systematically establishes relationships, enabling high-speed automated processing while maintaining detection accuracy through cryptographic fingerprint matching.
Data Source
AI summary
A system and method for deriving associations between assets is disclosed. The method includes determining a first fingerprint for a first asset, determining a second asset that matches at least a portion of the first asset based on the first fingerprint, determining whether the first asset and the second asset have a common owner, and responsive to determining that the first asset and the second asset have the common owner, creating an association between the first asset and the second asset.