Real-Time Event Detection for Non-Linear Content Streaming
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Solution Overview
Problem
Current content consumption methods are linear, lacking the ability to jump directly to significant events within content streams, especially in real-time scenarios like live sporting events, which limits users' ability to experience events as they happen and participate in near-real-time discussions.
Innovation Solution
A system that receives and evaluates multiple real-time content streams to detect significant events, sending notifications and allowing users to jump to these events in real-time, using a communication network and processor-based methods to provide non-linear content presentation and experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If linear content consumption is used, then content is delivered in real-time, but users cannot jump to specific events within the content stream
Solution Approach 1:
The system performs preliminary actions by detecting and marking significant events within the content stream in advance, creating event markers that allow users to jump directly to these events. The system proactively identifies events like goals, scores, or key moments and prepares navigation points before the user needs them, eliminating the need to watch through entire content streams.
Solution Approach 2:
The patent replaces the mechanical linear playback system with an intelligent navigation system that uses event detection algorithms, metadata analysis, and user preferences to automatically identify and mark significant events. This substitution enables non-linear navigation through content based on semantic understanding rather than chronological playback.
2Adaptability or versatility
If multiple concurrent streams are monitored in real-time, then users can experience events across multiple streams, but system complexity increases
Solution Approach 1:
The system segments the monitoring task by assigning different streams to dedicated evaluation modules or processes. Each stream is analyzed independently by specialized detectors that identify events specific to that stream type, allowing parallel processing without overwhelming a single system component. This segmentation enables scalable monitoring of multiple concurrent streams.
Solution Approach 2:
The patent implements a universal event detection framework that can handle multiple stream types (video, audio, data feeds) using common detection algorithms and event markers. The system uses multi-functional components that can adapt to different content types through configurable parameters and metadata, reducing overall system complexity while maintaining versatility across multiple concurrent streams.
3Speed
If event detection is performed in real-time, then users receive timely notifications, but processing resources are consumed
Solution Approach 1:
The system applies partial action by focusing event detection efforts on the most significant and user-relevant events rather than analyzing every moment of every stream in equal detail. It uses tiered detection strategies where high-priority events receive intensive real-time analysis while lower-priority events use lighter monitoring, optimizing resource allocation while maintaining timely notification for critical moments.
Solution Approach 2:
The event detection system uses self-service mechanisms by leveraging metadata, content descriptors, and automated tagging that come with the content streams. Rather than requiring exhaustive analysis of all content, the system utilizes existing structural information and patterns to efficiently identify events, reducing processing requirements while maintaining detection accuracy.
Data Source
AI summary
Systems and methods for non-linear content presentation and experience are provided. A plurality of real-time streams of content may be received over a communication network. At least one of the streams may be provided in real-time to a user device to be played in real-time. At least one other stream may be evaluated in real-time to detect when an event occurs within the evaluated stream. The user device may be sent a notification when the event is detected in the evaluated stream. Such notification may be overlaid on a portion of the provided stream played at the user device. A request may be received from the user device concerning jumping to the detected event in the evaluated stream. The evaluated stream may then be provided to the user device at a point prior to the detected event.