diff --git a/bob/pad/face/config/database/mifs.py b/bob/pad/face/config/database/mifs.py
index b70b31053c0561e9091ed4ec2840431ee9681105..d5db7dbcd4beabfb8b3472a05c5fe7736c7198bb 100644
--- a/bob/pad/face/config/database/mifs.py
+++ b/bob/pad/face/config/database/mifs.py
@@ -1,4 +1,22 @@
+#!/usr/bin/env python
+"""`MIFS`_ is a face makeup spoofing database adapted for face PAD experiments.
+
+Database assembled from a dataset consisting of 107 makeup-transformations taken
+from random YouTube makeup video tutorials, adapted in this package for face-PAD
+experiments. The public version of the database contains 107 such transformations
+with each time two images of a subject before makeup, two images of the same
+subject after makeup and two images of the target identity. For this package, a
+subset of 104 makeup transformations is selected, the target identities images
+discarded and the remaining images randomly distributed in three sets. More
+information can be found in the reference [CDSR17]_.
+
+You can download the raw data of the `MIFS`_ database by following
+the link.
+
+.. include:: links.rst
+
+"""
from bob.pad.face.database.mifs import MIFSPadDatabase
diff --git a/bob/pad/face/config/mifs.py b/bob/pad/face/config/mifs.py
index 5209463bea335ef07811a8f40b0abb616531f880..215a7da09d280479698db6c0d27961a3657f30b9 100644
--- a/bob/pad/face/config/mifs.py
+++ b/bob/pad/face/config/mifs.py
@@ -1,6 +1,22 @@
#!/usr/bin/env python
-"""`MIFS`_ is a database for face PAD experiments using make-up.
+
+"""`MIFS`_ is a face makeup spoofing database adapted for face PAD experiments.
+
+Database assembled from a dataset consisting of 107 makeup-transformations taken
+from random YouTube makeup video tutorials, adapted in this package for face-PAD
+experiments. The public version of the database contains 107 such transformations
+with each time two images of a subject before makeup, two images of the same
+subject after makeup and two images of the target identity. For this package, a
+subset of 104 makeup transformations is selected, the target identities images
+discarded and the remaining images randomly distributed in three sets. More
+information can be found in the reference [CDSR17]_.
+
+You can download the raw data of the `MIFS`_ database by following
+the link.
+
+.. include:: links.rst
+
"""
from bob.pad.face.database import MIFSPadDatabase
diff --git a/bob/pad/face/database/mifs.py b/bob/pad/face/database/mifs.py
index dddab7befd5d601c8c6a34e2f6e0e21abd1dc64e..570606a8dad5f06d5d528b19012b5659201c77dc 100644
--- a/bob/pad/face/database/mifs.py
+++ b/bob/pad/face/database/mifs.py
@@ -1,6 +1,7 @@
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
+#!/usr/bin/env python
#==============================================================================
@@ -25,7 +26,26 @@ class MIFSPadFile(PadFile):
#==========================================================================
def load(self, directory=None, extension=None):
- #path = self.make_path(directory, extension)
+ """
+ Overridden version of the load method defined in the ``PadFile``.
+
+ **Parameters:**
+
+ ``directory`` : :py:class:`str`
+ String containing the path to the MIFS database.
+ Default: None
+
+ ``extension`` : :py:class:`str`
+ Extension of the video files in the MIFS database.
+ Default: None
+
+ **Returns:**
+
+ ``video_data`` : FrameContainer
+ Video data stored in the FrameContainer, see ``bob.bio.video.utils.FrameContainer``
+ for further details.
+ """
+
path = self.make_path(directory=directory, extension=extension) # path to the file
frame_selector = bob.bio.video.FrameSelector(selection_style = 'all') # this frame_selector will select all frames from the video file
diff --git a/doc/api.rst b/doc/api.rst
index 3b834a8cd2fc9e468bba8b6c78293837ece98dd3..74a89cd7966719c5036ee9a6c69aa9c3fd0de4a9 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -37,6 +37,12 @@ Aggregated Database
.. autoclass:: bob.pad.face.database.aggregated_db.AggregatedDbPadFile
.. autoclass:: bob.pad.face.database.aggregated_db.AggregatedDbPadDatabase
+MIFS Database
+========================
+
+.. autoclass:: bob.pad.face.database.mifs.MIFSPadFile
+.. autoclass:: bob.pad.face.database.mifs.MIFSPadDatabase
+
Pre-processors
------------------------------
diff --git a/doc/links.rst b/doc/links.rst
index 44ef1f87ef310f7e3bf869f70152c569dfb00ee9..0394a8529286af1004d95ec762602b6933f5f24e 100644
--- a/doc/links.rst
+++ b/doc/links.rst
@@ -12,4 +12,5 @@
.. _replayattack: https://www.idiap.ch/dataset/replayattack
.. _replay-mobile: https://www.idiap.ch/dataset/replay-mobile
.. _dependencies: https://gitlab.idiap.ch/bob/bob/wikis/Dependencies
-.. _MSU MFSD: http://biometrics.cse.msu.edu/Publications/Databases/MSUMobileFaceSpoofing/index.htm
\ No newline at end of file
+.. _MSU MFSD: http://biometrics.cse.msu.edu/Publications/Databases/MSUMobileFaceSpoofing/index.htm
+.. _MIFS: http://www.antitza.com/makeup-datasets.html
diff --git a/doc/references.rst b/doc/references.rst
index 9b34385ac989b36a6792fcf40dc75187603218b6..4a9b4632b74a44b0b6e831fc8e368abad45bce29 100644
--- a/doc/references.rst
+++ b/doc/references.rst
@@ -15,3 +15,6 @@ References
.. [AM11] *A. Anjos and S. Marcel*, **Counter-measures to photo attacks in face recognition: A public database and a baseline**,
in: 2011 International Joint Conference on Biometrics (IJCB), Washington, DC, 2011, pp. 1-7.
+
+.. [CDSR17] *C. Chen, A. Dantcheva, T. Swearingen, A. Ross, "Spoofing Faces Using Makeup: An Investigative Study,"
+ in: Proc. of 3rd IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), (New Delhi, India), February 2017.
diff --git a/doc/resources.rst b/doc/resources.rst
index 30bf78198744d430a2c405342b3e045b5dfed4a1..ca93b11a2ae35163884c7109e014a2909e274cb0 100644
--- a/doc/resources.rst
+++ b/doc/resources.rst
@@ -60,6 +60,12 @@ Aggregated Database
.. automodule:: bob.pad.face.config.aggregated_db
:members:
+MIFS Database
+================================================================================
+
+.. automodule:: bob.pad.face.config.mifs
+ :members:
+
---------------------------------
@@ -129,6 +135,3 @@ Frame differences based features (motion analysis) + SVM for Aggregated Database
.. automodule:: bob.pad.face.config.frame_diff_svm_aggregated_db
:members:
-
-
-