Talks to Watch

Reveal Invisible Motion With This Clever Video Trick

2.8M views · Jun 4, 2020 · 14:20 · 1 HN recommender · 4 mentions · discussed 2020–2022

Steve Mould explains motion amplification and video magnification, techniques that find tiny changes in video invisible to the eye and exaggerate them. He covers the MIT research and industrial uses such as diagnosing vibrating machinery.

Why Hacker News points people here: Pointed to as an approachable layperson's explanation whenever video magnification or vibration visualization comes up.

“Steve Mould's layman's video”HN comment, 2020

What Hacker News said 4

RecommendsdjmipsSep 2020

“Steve Mould's layman's video”

Layman-friendly explanation of video magnification

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I found this other video on the topic that I wanted to share. link and Steve Mould's layman's video this video

in “Eulerian Video Magnification” · view on HN
Cites itdjmipsSep 2020

“I saw a Steve Mould video on this recently.”

Steve Mould explains Eulerian video magnification

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I saw a Steve Mould video on this recently. this video The guy who used it seems to imply his version had a bit of 'special sauce'

in “Eulerian Video Magnification” · view on HN
Cites itdavidb_Oct 2021

“Explainer Youtube video about Motion Amplification”

Explainer on motion amplification for equipment

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Combining this with Motion Amplification/Video Magnification [1] could result in some very interesting visuals and applications for factory equipment. [1] this video Explainer Youtube video about Motion Amplification

Cites itmgdlbpAug 2022

“overview of research, and discussions on HN”

Overview of motion magnification research for visualizing vibrations

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There is indeed research in doing that -- "motion magnification" visualizing vibrations in machinery: this video overview of research, and discussions on HN: link TED talk: link edit: TFA: > from the change of a single pixel’s color value over time, it’s possible to infer motions smaller than a pixel. > the researchers borrowed a technique from earlier work on algorithms that amplify minuscule variations in video,

in “Extracting Audio from Visual Information” · view on HN