How to identify and highlight the 5 most viral moments in a 60-minute video using AI
Video & Audio, Analytics & Optimization, Social Media
This task guides you from data gathering to publish-ready highlights. It shows how to combine signals from video content and viewer engagement to find moments that stand out.
You define virality criteria, segment the video, and apply a scoring model. The output includes a ranked list and a publish-ready outline.
The approach is practical and repeatable for multiple videos.
Who is this for?
- Video editors and producers seeking highlights
- Content strategists planning social campaigns
- Marketing teams evaluating engagement opportunities
- Analytics teams measuring virality across videos
- Creators aiming to maximize watch time and shares
Before you start
- Access to the 60-minute video file
- Basic understanding of AI or ML concepts
- A method to measure engagement signals (views, watch time, shares)
- A defined criterion of what constitutes a 'viral moment'
General Process (How it works)
- Define virality criteria Choose signals (views, watch time, shares, comments) that indicate engaging moments.
- Ingest and segment video Break the 60-minute video into short candidate segments (e.g., 5–30 seconds) for scoring.
- Extract features and signals Compute cues such as scene changes, audio spikes, captions, sentiment, and context.
- Score segments with AI Apply a scoring model to assign a virality score to each segment.
- Rank top five moments Sort by score, apply tie-breakers, select the top five with timestamps.
- Compile highlight data Create descriptions, thumbnails suggestions, and a publish-ready outline.
- Prepare payloads for publishing Generate the WordPress post payload fields and SEO data for the task.
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