Near-Duplicate-Video-Detection
What it is
This repository implements a system to detect near-duplicate videos using a bag-of-visual-words model. It extracts features from video keyframes using a pretrained AlexNet CNN, clusters them into a visual codebook, and compares videos via TF-IDF weighted histograms.
The problem it solves
High storage costs and reduced search quality caused by the massive amount of duplicate and near-duplicate video content uploaded to platforms.
What you could use it for
- Identifying duplicate or near-duplicate content in large video archives
- Cleaning video datasets for machine learning training
- Duplicate content removal for video hosting platforms
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.