Live Crowdsourced Media Streaming via Event Metadata
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Solution Overview
Problem
Current social networks limit media sharing to predefined groups and do not effectively organize or index user-generated media, hindering the widespread and real-time sharing of experiences from public events.
Innovation Solution
A system for live crowdsourced media streaming that includes a media server, mobile computing devices, and client computing devices, which capture, upload, and stream media in real-time, associating metadata for event identification and aggregation, allowing for near real-time sharing across the globe and enabling direct feedback between content creators and consumers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social networks limit media sharing to predefined groups, then privacy and control are maintained, but media sharing scope and real-time accessibility are restricted
Solution Approach 1:
The patent introduces a media server as an intermediary component that receives media streams from mobile devices and redistributes them to client devices. This mediator handles the complexity of real-time streaming, metadata management, and event-based routing, thereby enabling widespread media sharing without requiring complex peer-to-peer connections between users.
2Speed
If media is shared through traditional social networks, then sharing occurs within closed groups, but real-time global sharing and event-based organization are hindered
Solution Approach 1:
The system performs preliminary actions by associating metadata with media streams before distribution. Event attributes such as location, time, and description are extracted and attached to media content in advance, enabling clients to filter and organize media by event context without losing information during the sharing process.
3Quantity of substance
If multiple mobile devices capture media at public events, then comprehensive event coverage is achieved, but effective organization and retrieval of the media becomes difficult
Solution Approach 1:
The patent applies local quality by organizing media streams according to their specific event attributes rather than treating all media uniformly. Each media stream is tagged with location, time, and event type metadata, allowing clients to retrieve and organize media based on specific event contexts, thereby managing large volumes of content efficiently.
4Ease of operation
If media streaming is implemented without event-based metadata, then system simplicity is maintained, but media retrieval and organization efficiency deteriorates
Solution Approach 1:
The system implements self-service by automatically extracting event attributes from media streams and associating metadata without requiring manual intervention. The media server autonomously processes incoming media, extracts relevant event information, and organizes content based on event contexts, reducing operational complexity while improving retrieval ease.
Data Source
AI summary
Technologies for crowdsourced media streaming include a number of mobile computing devices configured to capture media streams and transmit the media streams to a media server. The media server associates the media streams with metadata describing the media streams, including metadata describing an event captured in the media stream. The media server also processes the media streams to generate additional metadata. A number of client computing devices may submit media stream requests to the media server, and the media server contemporaneously streams matching media streams to the client computing devices as the media streams are captured by the mobile computing devices. The client computing devices may transmit feedback information relating to the media stream to the source mobile computing device via the media server. The client computing devices may display the media streams alongside or overlaying other media such as a broadcast media event. Other embodiments are described and claimed.