Real-Time Event Identification Service for Streaming Media
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Solution Overview
Problem
The proliferation of streaming video content channels makes it difficult for viewers to find interesting content in real-time, as traditional electronic program guides lack real-time analysis and fail to indicate current events of interest, leading to missed important actions in live video streams.
Innovation Solution
Implementing an event identification service that uses algorithmic analysis of media content combined with metadata feeds to automatically detect live events of interest, such as breaking news or sports events, and surfaces these events through user interfaces on various devices, allowing users to access relevant content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional electronic program guides are used to display content information, then the system structure remains simple, but the ability to identify and indicate real-time events of interest is lost
Solution Approach 1:
The system segments the content delivery by separating event identification from general content display. An event identification service independently analyzes media content streams to detect events of interest, then surfaces these events through specific user interface elements. This segmentation allows the system to add real-time event detection capability without completely redesigning the traditional EPG structure.
Solution Approach 2:
An event identification service acts as an intermediary between the content delivery service and user devices. This service receives media content streams, performs algorithmic analysis to identify events of interest, and provides event information to user interfaces. The intermediary approach allows event detection functionality to be added without directly modifying the core content delivery or EPG systems.
2Loss of time
If viewers manually browse through hundreds of streaming channels to find interesting content, then no additional system resources are required, but viewers miss important actions in live video streams and spend excessive time searching
Solution Approach 1:
The system performs preliminary analysis of media content streams to identify events of interest before users need to view the content. The event identification service continuously monitors and analyzes content in real-time, pre-surfacing important events through user interfaces. This preliminary action allows users to be immediately presented with relevant content rather than manually searching through channels.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with surfaced events are tracked and used to refine future event identification. The event identification service learns from user behavior patterns to improve the accuracy and relevance of surfaced events, creating a continuous improvement loop that reduces the time users spend searching for interesting content.
Data Source
AI summary
Disclosed are various embodiments for identifying and recommending events of interest in real-time media content. Video of a media content stream is analyzed to determine whether an event of interest is occurring in real-time. Upon determining that an event of interest is occurring in real-time, a user interface is generated that includes at least two concurrently visible options to begin viewing video content corresponding to the event of interest.