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I think why the shape of movies works is because it's taking the entire video, where each cinematic shot is almost visible because most (all?) frames are included in the generated image, while yours is less than ten frames so there is no patterns emerging that looks visually interesting and pleasing.

Figuring out what a shot is cs. A scene is really neat stuff

Interesting point about the color analysis! It kinda reminds me of how album art used to be such a significant part of music culture. I’ve noticed that with videos, especially on platforms like YouTube, the visual style can really draw you in or turn you off immediately. It’s wild how much emotion can come from a simple palette choice or color scheme.

Back when I was tinkering with some video editing, I became really fascinated by how specific colors can evoke specific feelings. After messing around with different filters and palettes, I realized it’s a whole language in itself. Wonder if this tool could track viewer engagement based on those color schemes? I mean, does a certain color set get more clicks or shares? Could be fun to see the data on that! And there’s always the ethical side—using someone’s video for this without their consent could lead to some interesting discussions in the community. Anyone else tried something similar?

Cool project. I do urge you to add some explanation to the top, though.

Hi everyone! Glad HN gave this a second chance. I made a video explaining all about the site, how I used k-means clustering, threaded workers… It’s here, hope you enjoy it: https://youtu.be/jvFoGdvgWBs

I'm having a hard time understanding what exactly the graphs are showing. Is it just average pixel color per frame?

I wonder if you might advise me. I'm presently using yt-dlp with python selenium to expose censorship of comments, analyzing triggers and exposing the multi-universe false presentation of public discourse falsely presented by shadow-banning, url manipulation, mobil vs desktop and cookie or login status.

People are literally seeing different realities of serious (sometimes) discourses. Additionally, Shadow-banned commenters see their comments in the thread but no one else does.

I'm analyzing both yt-side and channel-operator side censorship and its arguable effects on society.

There's more, but my comment will become grayed out soon so not really worth saying more.

Netflix Tech Blog has some really neat stuff on this topic, apologies, idk what to link exactly but was reading it last night and pairs directly

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