{ "info": { "author": "Amir Mohammadi", "author_email": "amir.mohammadi@idiap.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Framework :: Bob", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": ".. vim: set fileencoding=utf-8 :\n\n.. image:: https://img.shields.io/badge/docs-available-orange.svg\n :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.uvad/master/index.html\n.. image:: https://gitlab.idiap.ch/bob/bob.db.uvad/badges/v0.0.6/pipeline.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad/commits/v0.0.6\n.. image:: https://gitlab.idiap.ch/bob/bob.db.uvad/badges/v0.0.6/coverage.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad/commits/v0.0.6\n.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad\n\n\n=================================\n UVAD Database Access in Bob\n=================================\n\nThis package is part of the signal-processing and machine learning toolbox\nBob_. This package provides an interface to the Unicamp Video-Attack Database\n(`UVAD`_) database. The original data files need to be downloaded separately.\n\nIf you use this database, please cite the following publication::\n\n @ARTICLE{7017526,\n author={Pinto, A. and Robson Schwartz, W. and Pedrini, H. and De Rezende Rocha, A.},\n journal={Information Forensics and Security, IEEE Transactions on},\n title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},\n year={2015},\n month={May},\n volume={10},\n number={5},\n pages={1025-1038},\n 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},\n doi={10.1109/TIFS.2015.2395139},\n ISSN={1556-6013},}\n\n\nInstallation\n------------\n\nComplete Bob's `installation`_ instructions. Then, to install this package,\nrun::\n\n $ conda install bob.db.uvad\n\n\nContact\n-------\n\nFor questions or reporting issues to this software package, contact our\ndevelopment `mailing list`_.\n\n\n.. 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