Video Similarity from Deep Neural Nets
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Evaluator.m
EvaluatorDistance.m
EvaluatorIntersection.m
EvaluatorOrder.m
LICENSE.txt
README.md
build_database.m
build_deformed.m
build_deformed_many.m
caffe_network.m
deform_video.m
figure_deform.m
figure_deformation.m
figure_roc.m
find_videos.m
find_videos.py
get_mean_image.m
prepare_frames.m
prepare_image.m
prune_database_distance.m
prune_database_order.m
run.m
sample_image.m
test_deformations.m
test_roc.m
video_read.m
video_write.m

README.md

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