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K-Means Video Converter

Convert your videos into abstract art animations using AI clustering.
Secure, fast, and free.

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What is K-Means Video Conversion?

Have you ever wondered what your videos would look like if reduced to just a handful of bold colors? Our K-Means Video Converter applies a machine learning technique called K-Means clustering to every single frame of your video. The result is a unique, abstract look where the scene is redrawn using only the most important colours. Think of it as a smart filter that blends data science with creativity.

Why Try This Tool?

How It Works

Each frame of your video is processed using OpenCV and the K-Means algorithm. Pixels are grouped into k clusters based on their colour similarity. Every cluster is represented by its average colour, and the frame is redrawn using only those averages. When all frames are stitched back together, the final video looks like a moving piece of digital art.

The Math Behind K-Means

K-Means is an unsupervised learning algorithm that partitions data into k groups. In our case, each pixel is a data point with three values (R, G, B). The algorithm works as follows:

  1. Choose k random cluster centers (colors).
  2. Assign each pixel to the cluster with the nearest center, using Euclidean distance:
d(p, c) = √((Rₚ - R꜀)² + (Gₚ - G꜀)² + (Bₚ - B꜀)²)
  1. Recalculate each cluster’s mean color (the centroid μₖ):
μₖ = (1 / |Cₖ|) · ∑p ∈ Cₖ p

The algorithm repeats these steps until the clusters stop changing. The final output is a simplified frame where each pixel’s color is replaced by the centroid of its cluster.

Best Practices & Tips

Frequently Asked Questions (FAQ)

Q: Will my video be stored?
No, videos are processed temporarily and deleted immediately after conversion.

Q: What does "k" mean?
It represents the number of distinct colors (clusters) the algorithm is allowed to use.

Q: Is it free?
Yes, the tool is 100% free to use.

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