Smart Video Preview Event Detection System
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Solution Overview
Problem
Current video content recorders are unable to analyze incoming content in real-time for events, limiting their ability to provide effective network-based previews to viewers.
Innovation Solution
A system that detects events in video content by analyzing metrics such as social media activity, audience reaction, and metadata, allowing for the display of smart previews starting from an event time, enabling viewers to access more engaging moments within the content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time event detection and smart preview display are implemented, then preview relevance and user engagement are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary event detection and timestamping on video content during ingestion or preprocessing, before preview generation is requested. Events are identified and marked with timestamps in advance, so when a preview is needed, the system can simply retrieve and display the pre-identified event segments without performing complex real-time analysis, thus reducing preview generation complexity while maintaining high relevance
Solution Approach 2:
The patent introduces an intermediary layer (event detection module) that sits between the video content source and the preview display system. This intermediary continuously analyzes video content, identifies events, and creates a structured representation of events with timestamps. This intermediary layer handles the complex processing work, allowing the preview display system to simply query and show pre-processed event information, thereby reducing the complexity of the overall preview system
2Measurement precision
If comprehensive metric analysis is performed for event detection, then event detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system segments the video content into discrete event units with specific timestamps, where each segment represents a detected event. By dividing the continuous video stream into manageable event segments during preprocessing, the system can efficiently retrieve and display only relevant segments when generating previews, avoiding the need to analyze entire video contents in real-time and thus reducing processing time while maintaining detection accuracy
Solution Approach 2:
Comprehensive metric analysis and event detection are performed in advance during video ingestion or preprocessing, not at the moment of preview generation. The system analyzes multiple metrics (audio, video, metadata) beforehand, identifies all events, and stores them with timestamps. When a preview is requested, the system simply retrieves the pre-analyzed event data, eliminating the need for time-consuming real-time analysis and significantly reducing processing time
Data Source
AI summary
Systems and methods are herein disclosed for displaying a smart preview of video content. A first claimed embodiment includes receiving video content. A system can then detect an event taking place during the video content having an event time. The system can then receive a request to display a preview of the video content. The system can then display the preview of the video content beginning at the event time.