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Near-Duplicate Detection using Neural Network Features

Written as part of a class project on near-duplicate detection for videos, this project is a Matlab script that uses Caffe neural networks to generate descriptive features for video frames. These descriptive features provide a unique signature for videos that can be queried to find similar or near-duplicate videos, even after various distortions, including resizing, rotating and cropping.

A summary of the technique and results can be found in the report.

Authors

L. Nathan Perkins

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Video Similarity from Deep Neural Nets

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