Metadata Server for Live Event Object Recognition
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Solution Overview
Problem
Viewers watching live games, either in stadiums or through TV broadcasts, often struggle to understand events happening in the stadium due to restricted views or camera angles, leading to a lack of immersive experience for remote viewers.
Innovation Solution
A system that uses metadata for object recognition and event representation, where a server provides event metadata to broadcasters, enabling real-time object recognition and statistical information sharing, allowing viewers to access live video and audio feeds through a live map interface, regardless of their location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If TV broadcasting is used to reach remote viewers, then viewership coverage is improved, but the ability to capture and convey stadium atmosphere and peripheral events deteriorates
Solution Approach 1:
The system divides the broadcasting function into multiple segments: official TV broadcasters provide main game coverage, while citizen broadcasters (spectators in the stadium) provide peripheral event coverage from their respective locations. This segmentation allows different viewpoints and events to be captured simultaneously, reducing information loss while maintaining broad viewership coverage.
Solution Approach 2:
The patent introduces a metadata server as an intermediary that collects, processes, and distributes event metadata to both official broadcasters and citizen broadcasters. This intermediary coordinates the broadcasting efforts, enables information sharing between different broadcasting sources, and ensures that peripheral events captured by citizen broadcasters are integrated into the overall broadcasting ecosystem.
2Measurement precision
If citizen broadcasters are equipped with full object recognition capabilities, then recognition accuracy is improved, but hardware complexity and cost increase
Solution Approach 1:
The metadata server acts as a centralized intermediary that houses the sophisticated object recognition algorithms and databases. Citizen broadcasters' devices only need basic capture and transmission capabilities, while the metadata server performs the complex recognition tasks and provides relevant metadata back to the broadcasters. This distributes the computational burden and reduces individual device complexity.
Solution Approach 2:
The system pre-generates and distributes event metadata (including object information, recognition criteria, and contextual data) to citizen broadcasters before they begin broadcasting. This preliminary provision of recognition data enables accurate object identification without requiring each citizen broadcaster's device to have full recognition capabilities built-in.
3Loss of time
If real-time metadata processing is implemented, then information freshness is improved, but system computational load increases
Solution Approach 1:
The metadata server processes and distributes only the essential and most relevant metadata information to citizen broadcasters in real-time, rather than processing all possible data. This partial processing approach maintains information freshness for critical events while avoiding the excessive computational load of analyzing every detail, allowing the system to balance timeliness with resource consumption.
Data Source
AI summary
An object recognition and event representation system includes: a server and a broadcaster, coupled to the server. In response to a request from the broadcaster, the server sends an event metadata and a recognition data. Based on the event metadata and the recognition data, the broadcaster simultaneously performs a live video broadcasting and a real-time object recognition. If the broadcaster recognizes an object, the broadcaster sends a recognition result to the server.