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https://github.com/shubham18024/benfords-law_videoanalysis

The Benford's Law Video Analysis project is a Python tool that leverages Benford's Law to differentiate between original and AI-generated videos. The script extracts frames from a video, analyzes the first digits of pixel values in these frames, and creates histograms to visualize digit occurrences.
https://github.com/shubham18024/benfords-law_videoanalysis

benfords-law detection histogram jupyter-notebook python3 video

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The Benford's Law Video Analysis project is a Python tool that leverages Benford's Law to differentiate between original and AI-generated videos. The script extracts frames from a video, analyzes the first digits of pixel values in these frames, and creates histograms to visualize digit occurrences.

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# Benford's Law Video Analysis

## Overview

The Benford's Law Video Analysis project is a Python tool that transforms video frames into a visual journey through Benford's Law. Dive into the digits, explore the patterns, and distinguish between authentic and AI-generated videos.

## 🚀 Features

- **Digit Safari:** Extract frames, embark on a digit adventure, and witness the hidden patterns.
- **Histogram Wonderland:** Create vivid histograms showcasing the enchanting first digit occurrences.
- **Average Magic:** Unveil the average histogram, a magical amalgamation of all frame journeys.

## Install Enchantment
``` bash
pip install -r requirements.txt
```
## 🌈 Dependencies
```
OpenCV
NumPy
Pillow (PIL)
Matplotlib
scipy
```
## 📜 License
This project is licensed under the MIT License - see the LICENSE.txt file for details.
## 🙌 Acknowledgments
Inspired by the Netflix documentary : The hidden science of everything.
## 🤝 Contributing
Contributions are welcome! Open an issue or submit a pull request.
## 📧 Contact
Shubham Tiwari