Mobile Device Multimedia Detection for Copyright Licensing
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Solution Overview
Problem
Copyright holders face challenges in monitoring and compensating for unlicensed performances of copyrighted creative works in public venues, as their employees cannot be present everywhere to detect and record these occurrences.
Innovation Solution
A system utilizing mobile devices to collect and send data about multimedia performances to a server for analysis, determining if the content is copyrighted and if a license exists, and generating invoices for unlicensed uses, with the option to compensate users for their participation, all in an automated manner without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If copyright holders use employees and agents to monitor public performances, then detection capability is improved, but operational cost and scalability deteriorate due to the inability to be everywhere
Solution Approach 1:
The system enables self-service monitoring by deploying detection functionality directly on users' mobile devices. Each device independently captures multimedia data, identifies copyrighted works, and reports findings without requiring human intervention or supervision, thus eliminating the need for employees to physically monitor venues while maintaining high detection capability
Solution Approach 2:
The mobile device detection application serves multiple functions: capturing multimedia data, identifying copyrighted works, determining location, checking license status, and generating reports. This multi-functional approach allows a single system to replace multiple specialized roles (monitors, recorders, analysts) that would otherwise be needed, improving both detection capability and scalability
2Measurement precision
If manual monitoring methods are used, then detection accuracy is improved, but time consumption and resource requirements deteriorate
Solution Approach 1:
The system replaces manual mechanical monitoring with automated digital detection using mobile devices and server-based analysis. The detection application automatically captures multimedia data, identifies copyrighted works through digital matching, and reports findings without human intervention, thereby maintaining high detection accuracy while eliminating time consumption associated with manual monitoring
Solution Approach 2:
The system performs preliminary actions by pre-loading databases of copyrighted works and their licensing information onto the server. When a mobile device captures multimedia data, the server can immediately compare it against the pre-prepared database and provide instant results, eliminating the time required for manual verification and analysis
3Productivity
If automated detection systems are implemented, then operational efficiency is improved, but system complexity deteriorates
Solution Approach 1:
The system is segmented into distinct modular components: a detection application on mobile devices for data capture, a server for analysis and database management, and separate modules for identification, location determination, and license verification. This segmentation allows each component to be developed and maintained independently, improving operational efficiency while managing system complexity through modularity
Solution Approach 2:
The server acts as an intermediary between mobile devices and the copyright licensing system. It receives data from multiple devices, performs centralized analysis against the copyrighted works database, determines license status, and generates reports. This intermediary approach simplifies the overall system architecture by centralizing complex functions while keeping individual mobile devices relatively simple
4Reliability
If comprehensive data collection is performed, then detection reliability is improved, but data processing requirements and user burden deteriorate
Solution Approach 1:
The system extracts only the essential data elements needed for detection from the mobile device (multimedia capture, location information, device identifiers) and transmits them to the server for processing. By taking out only the necessary data rather than processing comprehensive information locally, the system improves detection reliability through centralized analysis while reducing the data processing burden on individual devices
Data Source
AI summary
Described herein are systems, methods, and apparatuses for providing the detection of displays or performances of copyrighted creative works, determining whether a license exists for those performances, and taking further action depending upon the results of that determination. The systems, methods, and apparatuses may include using a mobile device to capture occurrences of multimedia data as well as information relating to the location of those occurrences, and transmitting representations of those occurrences and information to a server computer. The server computer may identify the copyrighted work associated with the multimedia data, determine if a license for performance of that work exists, determine a price for its performance/display, and generate and then send an invoice for the performance of the copyrighted work.