Please kindly cite the following paper if you use our implementation in your publications:
@InProceedings{snap-points,
author = {B. Xiong and K. Grauman},
title = {Detecting Snap Points in Egocentric Video with a Web Photo Prior},
booktitle = {ECCV},
month = {September},
year = {2014}
}
To Run the code :
First download the features from
http://vision.cs.utexas.edu/projects/ego_snappoints/download/mat_file.zip
Then unzip the file in the code folder.
The script demo.m test on 10 frames. Note due to space constraint, only a subset of features are
included. In order to run on other dataset, please replace with your own feature.
Libraries:
For the easy installation, we also include their code in our package.
Please refer to the original packages for their copyright and license agreement.
GFK:
Geodesic Flow Kernel for Unsupervised Domain Adaptation. B. Gong, Y. Shi, F. Sha, and K. Grauman.
CVPR, Providence, RI, June 2012
http://www-scf.usc.edu/~boqinggo/domainadaptation.html
Feature extraction:
Blurriness and line orientations estimation are included under feature_extraction. Other code for
feature extraction can be found at:
https://cs.brown.edu/~gen/sunattributes.html
http://www.vlfeat.org/
Web Prior data:
http://groups.csail.mit.edu/vision/SUN/
SUN_source_code_v2:
http://vision.princeton.edu/projects/2010/SUN/
License:
The MIT License (MIT)
Copyright (c) 2014 Bo Xiong
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in
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