Real-Time Video Highlight Segmentation for Live Events
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Solution Overview
Problem
Viewers of live televised events cannot request and view on-demand real-time video highlights from specific camera angles or edit them manually, as current methods require significant manual operation and resources, making it economically impractical for television networks.
Innovation Solution
A method and system for segmenting and transmitting on-demand real-time video clips from live events by monitoring live events for important events, detecting event-triggers, and editing video feeds into video-segments, allowing viewers to select and receive specific highlights from preferred camera angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual operators monitor and edit video feeds to produce highlights, then viewers can access desired highlights from specific camera angles, but the costs and resources required become economically impractical
Solution Approach 1:
The system enables automatic detection of event triggers and autonomous segmentation of video feeds into highlights without requiring manual operator intervention. The computer automatically monitors video feeds, detects triggers based on predefined criteria, and generates highlight segments, allowing the system to serve itself rather than relying on human operators.
Solution Approach 2:
The patent replaces the mechanical system of manual video editing with an automated computer-based system that uses algorithmic trigger detection and automatic video segmentation. This substitution eliminates the need for human operators to physically edit video clips while maintaining the ability to produce customized highlights from multiple camera angles.
2Productivity
If multiple video feeds are monitored and edited manually to create highlights, then comprehensive highlight coverage is achieved, but the time and resources required increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-segmenting video feeds into potential highlight segments based on detected event triggers as they occur during the live event. This allows highlights to be prepared in advance and made immediately available for transmission to viewers, eliminating the need for time-consuming post-event manual editing.
Solution Approach 2:
The system maintains continuous monitoring of multiple video feeds and continuously detects event triggers in real-time throughout the event. This continuous automated operation ensures that highlights are produced without interruption or delay, maintaining productivity while eliminating the intermittent nature of manual editing work.
3Ease of operation
If viewers rely on televised broadcast for highlights, then network resources are preserved, but viewers cannot access highlights on-demand or from specific camera angles
Solution Approach 1:
The system segments video feeds into distinct highlight segments based on detected event triggers, creating independently accessible video clips. Each segment corresponds to a specific event or moment of interest, allowing viewers to access individual highlights on-demand rather than watching entire broadcasts, while the automation handles the complex task of identifying and separating these segments.
Data Source
AI summary
A method and system for producing video-segments of a live-action event involving monitoring a live-action event for detection of event-segments, detecting one or more event-triggers with detectors, determining if an event-segment occurred based on the detected event-triggers, and editing one or more video feeds into a video-segment to encompass the event-segment.