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beyondmetis avatar beyondmetis commented on May 20, 2024

I've already emailed @aizvorski about this. He hasn't responded.

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oneTaken avatar oneTaken commented on May 20, 2024

Thanks for your quick reply.
By the way, I am a master candicate from China.
I got your are a PHD on I&VQA just now. Great GPA.
I did some research about IQA for a short time.

And I am doing something about video question answer recently. And I have a subtask to confirm the video coherent, a video may be made up many small videos. I use SSIM and a threshold to confirm the video is from the same small video or not. It's not good enough.
Do you have any idea to better solve this?
Thanks so much.

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beyondmetis avatar beyondmetis commented on May 20, 2024

I'm not sure exactly what you mean. A video may be made up of many small videos? Do you mean videos with different scenes, or do you mean finding a video clip inside the original video?

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oneTaken avatar oneTaken commented on May 20, 2024

The subtask is more similar to the latter description.
Due to the dirty dataset, a video may be made up of many sub videos, which are different.

For example:
For something to do about films, the video in the dataset may have this video:
many clips from different films make up a new video. And the new video is what I have.

I have to pick up these different film clips from the video. SSIM is not good enough.

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beyondmetis avatar beyondmetis commented on May 20, 2024

Well, if you already have the clip that you interested in finding within the new video, you can just use mean squared error (MSE) or sum of absolute differences (SAD). In other words, the clip is your template, and you want to correlate it against the new video. The correlation will be highest when mean squared error is lowest.

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oneTaken avatar oneTaken commented on May 20, 2024

I have tried MSE, but not SAD. I will have a try to know whether useful.
The MSE result is really rough.
I don't know how many images are from the same clip, and I don't have clips. I only have the new video.

Images may have low mse value, and they are from different clips.
SSIM has a better result, but not good enough.

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beyondmetis avatar beyondmetis commented on May 20, 2024

It sounds like I completely misunderstood your problem. You can try a scene detector to split the clips in the new video. There is one already in sk-video.

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alex-at-thimble avatar alex-at-thimble commented on May 20, 2024

@beyondmetis I added you to the scikit-video pypi as maintainer so you can go ahead and change the info over to point here and upload the latest release. I'll open a separate issue for a few cleanup things that we'll have to do around that - I think not blocking.

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oneTaken avatar oneTaken commented on May 20, 2024

I saw the api. I'll have a try for this.
Actually, before SSIM, I use the key-frame to roughly detect small clips.
And then use SSIM to merge this rough clips. Obviously, SSIM is not enough to clip.

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beyondmetis avatar beyondmetis commented on May 20, 2024

@alex-at-thimble Thanks! I'll need to make a few updates to documentation as well, which should not be a big deal.

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beyondmetis avatar beyondmetis commented on May 20, 2024

I've pushed the current version of sk-video into pypi as scikit-video. @oneTaken if you'd like to take this unrelated conversation offline, you can always email me directly.

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