Heat Map Workflow to Spot Missing Audio Description (Full Transcript)

A heat map timeline highlights segments needing audio description so teams can jump to gaps, review quickly, and order AI or human remediation services.
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[00:00:00] Speaker 1: We want to better understand where in the video we might be missing description. The way that we analyze the video is we actually have both a video player here on the left side of the screen mapped to a heat map where description ultimately is needed. So this is a gradient driven heat map where we have tiles from white to dark magenta indicating where in the timeline of the video we're seeing the most opportunity for description from a missing perspective. So if I skip ahead to this part of the video, this will allow me to just review this segment of the video. This segment might be 20 seconds or 40 seconds, but this allows us to review, hey, what might be missing from this particular content creators dialogue track that's not being covered by the audio description. So if you're doing this manually, you can just skip to these pink points, these magenta points in the video, and it will scrub to that point in the video. You can do a quick review. So instead of watching this entire, you know, 26 minute video, you can instead watch maybe just a few minutes of this video. So from there, you can choose to remediate this yourself. Of course, we give tools that are integrated into our marketplace for remediation. So you can order directly from here, everything from AI scripted audio description up to our accommodation level, which is a human scripted audio description.

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Arow Summary
A speaker explains a workflow for finding where a video lacks adequate audio description. A video player is paired with a gradient heat map timeline (white to dark magenta) that highlights segments with the greatest “opportunity” for missing description. Users can jump directly to the magenta points, review only short 20–40 second segments instead of the full 26‑minute video, and then choose to remediate either manually or by ordering services through an integrated marketplace ranging from AI-scripted to human-scripted (accommodation-level) audio description.
Arow Title
Using a Heat Map to Find Missing Audio Description
Arow Keywords
audio description Remove
accessibility Remove
video analysis Remove
heat map timeline Remove
remediation Remove
scrubbing Remove
content creator dialogue track Remove
AI scripted audio description Remove
human scripted audio description Remove
marketplace integration Remove
Arow Key Takeaways
  • Pair a video player with a heat map timeline to pinpoint where description is likely missing.
  • A white-to-magenta gradient can visualize the highest need for additional description.
  • Jumping to highlighted timeline points enables quick review of short segments (20–40 seconds).
  • This approach reduces review time versus watching an entire long video end-to-end.
  • After identifying gaps, users can remediate manually or order audio description services.
  • Service options can range from AI-scripted audio description to human-scripted, accommodation-level description via a marketplace.
Arow Sentiments
Positive: The tone is solution-oriented and upbeat, emphasizing efficiency gains (watch minutes instead of 26) and offering multiple remediation options via integrated tools and services.
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