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www.invid-project.eu
In	Video	Veritas	–	Verification	of	Social	Media	
Video	Content	for	the	News	Industry
Denis	Teyssou,	Agence	France-Presse	
	@InVID_EU		@dteyssou
IEEE	Workshop	on	Information	Forensics	and	Security	
#WIFS2017	
A	state	of	the	art	in	journalism	about	fake	image	and	
video	detection
Rennes,	December	5th	2017
2
Despite	this	old	definition	of	journalism
www.invid-project.eu
https://en.wikipedia.org/wiki/Alfred_Harmsworth,_1st_Viscount_Northcliffe
3
I’ll	talk	strictly	from	a	user	point	of	view
www.invid-project.eu
Joseph Fourier
4
Dilemma:	digital	forensic	or	in	depth	post-mortem	analysis?
www.invid-project.eu
https://www.nytimes.com/2017/05/01/
insider/the-times-uses-forensic-mapping-
to-verify-a-syrian-chemical-attack.html
https://www.nytimes.com/
2017/10/23/insider/reporting-on-las-
vegas-pixel-by-pixel.html
5
Digital	Forensic	Research	Lab
www.invid-project.eu
https://medium.com/dfrlab
6
Bell¿ngcat
www.invid-project.eu
7
Bell¿ngcat	on	MH17	investigation
www.invid-project.eu
https://www.bellingcat.com/
8
Bellingcat’s	digital	forensics	tools	guide	
www.invid-project.eu
https://goo.gl/tJMTdi
9
Bellingcat’s	digital	forensics	tools	guide	
www.invid-project.eu
10
First	Draft	News
www.invid-project.eu
11
First	Draft	News	Network
www.invid-project.eu
https://firstdraftnews.com/
12
An	example	with	an	Izitru	tutorial
www.invid-project.eu
13
Verification	handbook
www.invid-project.eu
http://verificationhandbook.com/
14
Journalists	sharing	their	list	of	tools
www.invid-project.eu
@bayer_julia (DW Social Media)
15
Not	a	new	problem
www.invid-project.eu/verify
http://www.nytimes.com/slideshow/2009/08/23/weekinreview/20090823_FAKE_SS_index.html
16
But	spreading	as	never	before	on	SN
www.invid-project.eu/verify
http://pth.izitru.com/
17
A	recent	fake	picture	from	Catalonia
www.invid-project.eu/verify
18
A	reverse	search	on	Google	images
www.invid-project.eu/verify
19
Original	picture	without	flag
www.invid-project.eu/verify
20
Izitru
www.invid-project.eu
21
Fotoforensics
www.invid-project.eu
22
Forensically
www.invid-project.eu
https://29a.ch/photo-forensics/#error-level-analysis
23
EU	FP7	REVEAL	Image	verification	assistant
www.invid-project.eu/verify
24
EU	FP7	REVEAL	Image	verification	assistant
www.invid-project.eu/verify
25
Putin	tsar	of	…	the	World	in	G20
www.invid-project.eu
26
Instead	of	an	empty	chair
www.invid-project.eu
27
Debunked	on	Twitter
www.invid-project.eu
28
Izitru
www.invid-project.eu
29
Fotoforensics
www.invid-project.eu
30
Forensically
www.invid-project.eu
31
Reveal
www.invid-project.eu
32
Tungstene	by	ExoMakina
www.invid-project.eu
33
Tungstene	by	ExoMakina
www.invid-project.eu
34
Tungstene	by	ExoMakina
www.invid-project.eu
35
A	variation	of	a	widely	retouched	picture
www.invid-project.eu
36
North	Korean	pictures
www.invid-project.eu
© KCNA
37
Through	a	forensic	exam
www.invid-project.eu
38
Hidden	traces	within	the	picture
www.invid-project.eu
39
North	Korea	in	possession	of	…	Photoshop	(or	GIMP)
www.invid-project.eu
40
Traces	of	digital	make-up	…
www.invid-project.eu
41
InVID:	a	Horizon	2020	European	project
InVID	is	funded	by	the	EU	Horizon	2020	Programme	under	the	project	number	ICT-2015-687786
www.invid-project.eu
A	three-years	innovation	action	(2016-2018)	
about	video	verification	on	social	networks	for	the	news	industry
42
A	well	know	fake	picture	out	of	a	movie
Well known fake which circulated after Ben Laden’s death in 2012
www.invid-project.eu
43
Testing	a	use	case	approach	to	duplicate	search
The movie used for making the fake: Ridley Scott’s Black Hawk Down
www.invid-project.eu
44
Testing	a	use	case	approach	to	duplicate	search
These outcomes indicate that the DCNN method is by far the most efficient
one in indicating the "Ben Laden" image as a near-duplicate of one of the
given video keyframes.
keyframes DCNN DCT
Matching of
local descriptors
BlackHawkDown-
tt0265086-123.jpg
0.8905 0.1483 0.1199
BlackHawkDown-
tt0265086-124.jpg 0.8929 0.0860 0.0935
BlackHawkDown-
tt0265086-125.jpg
0.8877 0.0436 0.1031
BlackHawkDown-
tt0265086-126.jpg
0.8885 0.0260 0.0959
BlackHawkDown-
tt0265086-127.jpg 0.8888 0.0333 0.0935
www.invid-project.eu
45
Testing	a	use	case	approach	to	duplicate	search
the most similar keyframe from the movie
www.invid-project.eu
46
Enough	to	swindle	Google	predictive	algorithm
www.invid-project.eu
47
A	free	verification	browser	plugin
www.invid-project.eu
48
Amnesty	international	metadata	viewer
www.invid-project.eu
49www.invid-project.eu/verify
How	to	verify	a	video	?
Sinai Mosque attack on Nov 24th?
50
Extracting	keyframes	from	the	video
www.invid-project.eu/verify
51
Reverse	image	search	on	video	keyframes
www.invid-project.eu/verify
52
Reverse	image	search	on	video	keyframes
www.invid-project.eu/verify
53www.invid-project.eu/verify
Retrieves	images	of	another	attack	…	in	2015
http://www.bbc.com/news/world-middle-east-42115748
54
Tweet	verification
www.invid-project.eu/verify
55
Search	by	time	interval	on	Twitter
www.invid-project.eu/verify
56
Another	example	with	a	video	…	from	Paris?
www.invid-project.eu/verify
57
Again	a	segmentation	in	keyframes
www.invid-project.eu/verify
58
A	look	at	the	keyframe	through	a	Magnifier	lens
www.invid-project.eu/verify
59
And	a	reverse	image	search	…	on	Google
www.invid-project.eu/verify
60
World	War	Z	making	of	!
www.invid-project.eu/verify
61www.invid-project.eu
More	«	real	life	»	use	cases
First a video used on Twitter and
Facebook in a xenophobic campaign
during the French Presidential election
and claiming that a migrant « seeking
free healthcare » assaulted a hospital
staff member … in France.
62
Extracting	keyframes	from	the	video
www.invid-project.eu
63
Reverse	image	search	on	video	keyframes
www.invid-project.eu
64
Reverse	image	search	on	video	keyframes
www.invid-project.eu
The migrant in France
appeared to be in fact a
drunk Russian assaulting a
hospital staff, a month
before, in … Novgorod.
65www.invid-project.eu
Another	example	with	a	fake	…	war	photographer
66
fooled	the	media	…	and	the	search	engines
www.invid-project.eu
67
Search	engines	often	fail	to	retrieve	inverted	images
www.invid-project.eu
The fake Gaza
picture of the fake
war photographer
Eduardo Martins
68
Flip	function	to	retrieve	inverted	images
www.invid-project.eu
We invert the image
and press the copy
url button to send it
to Google images
69
Then	Google	retrieves	the	original	image
www.invid-project.eu
70
Google	retrieves	the	original	image
www.invid-project.eu
71
A	real	life	debunk
www.invid-project.eu/verify
	
A casino robbery in Philippines (in fact in Surinam several years before)
72
Check	it	out	!
www.invid-project.eu/verify
www.invid-project.eu/verify
73
Very	positive	feedback	so	far	…
www.invid-project.eu
Must-download REALLY USEFUL
A must have for any journalist
invaluable
https://twitter.com/i/moments/888495915610275840
Some comments on Twitter
74
User	needs	…
www.invid-project.eu
better content enhancement: the often low resolution of the content is an
obstacle to detect alterations. Super resolution imaging could be a
possible solution.
better storytelling regarding forensics with more accessible jargon, more
user centric (ex: this picture has been save > 5 times)
social network analysis: being able not only to detect bubbles, echo
chambers but also to map the content (images) propagation within
social media.
software signatures (being able to detect the last software used with the
content; Photo Response Non Uniformity (PRNU) to detect the
pictures taken by a single device and check the image consistency)
Search for similar camera <= thanks AMPED Software
anticipate the future of fake news: technology to manipulate audio tracks
and people faces is already there.
75
Future	of	fake	news
www.invid-project.eu
http://futureoffakenews.com/
76
Some	scaring	tools	coming	soon	…
www.invid-project.eu
77
Any	questions?
Thank	you	for	your	attention!
www.invid-project.eu
Denis	Teyssou,	Agence	France-Presse	
	@InVID_EU		@dteyssou	
denis.teyssou@afp.com
http://fr.linkedin.com/in/denisteyssou

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A state of the art in journalism about fake image and video detection