Metadata-Version: 1.1
Name: bob.paper.eusipco2018
Version: 1.0.0
Summary: Source code for EUSIPCO 2018 paper on audio-visual inconsistency detection
Home-page: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018
Author: Pavel Korshunov
Author-email: pavel.korshunov@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Thu 23 Jun 13:43:22 2016
        .. image:: http://img.shields.io/badge/docs-v1.0.0-yellow.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.eusipco2018/v1.0.0/index.html
        .. image:: http://img.shields.io/badge/docs-latest-orange.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.eusipco2018/master/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018/badges/v1.0.0/build.svg
           :target: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018/commits/v1.0.0
        .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
           :target: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018
        .. image:: http://img.shields.io/pypi/v/bob.paper.eusipco2018.svg
           :target: https://pypi.python.org/pypi/bob.paper.eusipco2018
        
        
        ===================================================
         Speaker Inconsistency Detection in Tampered Video
        ===================================================
        
        This package is part of the Bob_ toolkit and it allows to reproduce the experimental results published in the following paper::
        
            @inproceedings{KorshunovEusipco2018,
                author = {P. Korshunov AND S. Marcel},
                title = {Speaker Inconsistency Detection in Tampered Video},
                year = {2018},
                month = sep,
                booktitle = {{EUSIPCO 2018}},
                address = {Rome, Italy},
            }
        
        If you use this package and/or its results, please cite the paper.
        
        
        Installation
        ------------
        
        The installation instructions are based on conda_ and works on **Linux** and **Mac OS** systems
        only. `Install conda`_ before continuing.
        
        Once you have installed conda_, download the source code of this paper and
        unpack it or checkout from Gitlab.  Then, you can create a conda environment with the following
        command::
        
            $ cd bob.paper.eusipco2018
            $ conda env create -f environment.yml
            $ source activate bob.paper.eusipco2018  # activate the environment
            $ python -c "import bob.bio.base"  # test the installation
            $ buildout
        
        This will install all the required software to reproduce this paper.
        
        
        Documentation
        -------------
        For further documentation on this package, please read the `Documentation <https://www.idiap.ch/software/bob/docs/bob/bob.paper.eusipco2018/v1.0.0/index.html>`_.
        For a list of tutorials on this or the other packages of Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.
        
        .. _bob: http://www.idiap.ch/software/bob
        .. _conda: https://conda.io
        .. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install
        .. _bob.bio: https://pypi.python.org/pypi/bob.bio.base
        
        
Keywords: EUSIPCO 2018,audio-visual inconsistency
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
