Automated Real-Time Updates from Live Event Content Streams
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Solution Overview
Problem
Existing solutions for live event media visualization lack real-time updates, requiring manual effort and high production costs, and fail to provide viewers with key happenings in a chronological manner.
Innovation Solution
A system and method for automatically generating real-time updates by fetching a content stream, identifying relevant moments, calculating importance scores, and displaying them on a display unit, with the ability to store and merge updates into a timeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual publishing efforts are used to generate event highlights, then the quality and curation of event moments can be maintained, but the production costs increase significantly and real-time delivery is not achieved
Solution Approach 1:
The system enables automatic self-service generation of event highlights through AI-powered analysis of content streams. The processing unit autonomously identifies significant moments, generates text summaries, selects images, and publishes updates without human intervention, thereby eliminating manual production costs while maintaining real-time information delivery.
Solution Approach 2:
The patent replaces the mechanical manual editing and publishing process with an automated electronic system. The processing unit uses algorithms to analyze content streams, identify moments of interest, and generate publications automatically, substituting human labor with computational processes that reduce costs and enable real-time operation.
2Loss of information
If viewers watch the entire live event duration, then they can see all significant happenings, but the time consumption increases significantly
Solution Approach 1:
The system extracts only the most significant moments from the continuous content stream by analyzing multiple parameters such as action intensity, participant involvement, and event context. This extraction process filters out redundant information and delivers only essential event highlights to viewers, maintaining information completeness while dramatically reducing time consumption.
Solution Approach 2:
Instead of presenting the complete live event duration, the system delivers a curated subset of partial moments that capture the essence of the event. By selecting and presenting only the most important segments, the system provides sufficient event information without requiring viewers to invest excessive time.
3Adaptability or versatility
If multiple variations of event moments are published, then the evaluation of event information can be enhanced, but the production costs and complexity increase significantly
Solution Approach 1:
The processing unit performs multiple functions within a single integrated system: analyzing content streams, identifying moments, generating text summaries, selecting images, calculating importance scores, and publishing updates. This multi-functional approach enables versatile event information evaluation without requiring separate complex systems for each function, thereby reducing overall complexity.
Data Source
AI summary
A method and a system for automatically generating one or more real time updates for at least one live event is described. In one example, a processing unit is connected to a storage unit and a display unit, said processing unit fetches a content stream of the at least one live event and identifies at least one moment from the content stream. Based on the identified moment, at least one real time update is generated by the processing unit. The generated real time updated is then displayed on the display unit.