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=================================
 UVAD Database Access in Bob
=================================

This package is part of the signal-processing and machine learning toolbox
Bob_. This package provides an interface to the Unicamp Video-Attack Database
(`UVAD`_) database. The original data files need to be downloaded separately.

If you use this database, please cite the following publication::

    @ARTICLE{7017526,
    author={Pinto, A. and Robson Schwartz, W. and Pedrini, H. and De Rezende Rocha, A.},
    journal={Information Forensics and Security, IEEE Transactions on},
    title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},
    year={2015},
    month={May},
    volume={10},
    number={5},
    pages={1025-1038},
    keywords={Authentication;Biometrics (access control);Databases;Face;Feature extraction;Histograms;Noise;Unicamp Video-Attack Database;Video-based Face Spoofing;Video-based face spoofing;Visual Rhythm, Video-based Attacks;impersonation detection in facial biometric systems;unicamp video-attack database;video-based attacks;visual rhythm},
    doi={10.1109/TIFS.2015.2395139},
    ISSN={1556-6013},}


Installation
------------

Complete Bob's `installation`_ instructions. Then, to install this package,
run::

  $ conda install bob.db.uvad


Contact
-------

For questions or reporting issues to this software package, contact our
development `mailing list`_.


.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://www.idiap.ch/software/bob/discuss
.. _uvad: http://ieeexplore.ieee.org/abstract/document/7017526/