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Now on BBC News,
it's time for Click. | 0:00:02 | 0:00:06 | |
This week, lady becomes model. | 0:00:06 | 0:00:09 | |
Man becomes ape. | 0:00:09 | 0:00:10 | |
And Spen becomes Trump. | 0:00:10 | 0:00:15 | |
AS DONALD TRUMP: Great, the best. | 0:00:15 | 0:00:17 | |
OK, movie quiz time. | 0:00:43 | 0:00:45 | |
Five points if you can
name this film. | 0:00:45 | 0:00:47 | |
Correct - it's Raiders
of the Lost Ark. | 0:00:47 | 0:00:47 | |
No, that is not Harrison Ford,
that is the face of Nicholas Cage. | 0:00:49 | 0:00:52 | |
OK, try this one. | 0:00:52 | 0:00:58 | |
Yes, it is The Fellowship
of the Ring. | 0:00:58 | 0:01:05 | |
100 points if you spotted
Nicholas Cage, Nicolas Cage | 0:01:05 | 0:01:08 | |
and Nicholas Cage. | 0:01:08 | 0:01:12 | |
So, what on Earth is going on? | 0:01:12 | 0:01:14 | |
We're just about getting used
to the idea that there | 0:01:14 | 0:01:16 | |
are loads of fakes online. | 0:01:16 | 0:01:18 | |
Fake news, fake tweets,
fake photoshopped images. | 0:01:18 | 0:01:20 | |
But these videos are a whole
level above anything | 0:01:20 | 0:01:22 | |
that we've seen before,
and they may have consequences that | 0:01:22 | 0:01:25 | |
go far beyond just switching
out a few movie stars. | 0:01:25 | 0:01:38 | |
A lot of what we talk about over
the dinner table is, | 0:01:38 | 0:01:41 | |
we live in a diverse world. | 0:01:41 | 0:01:45 | |
Researchers at the University
of Washington released | 0:01:45 | 0:01:47 | |
this video last year,
which used a computer vision | 0:01:47 | 0:01:50 | |
algorithm to very convincingly
doctor Obama's mouth movements | 0:01:50 | 0:01:52 | |
to make him lipsync to something
he said in a different interview. | 0:01:52 | 0:01:55 | |
A lot of kids, the doors that
have been opened to me | 0:01:55 | 0:01:58 | |
aren't open to them. | 0:01:58 | 0:01:59 | |
And with the tricks and tools
of machine learning becoming | 0:02:00 | 0:02:02 | |
better and easier to use,
it's now possible to do this without | 0:02:02 | 0:02:05 | |
a particularly powerful computer. | 0:02:05 | 0:02:11 | |
Remember the Nick Cage
videos from earlier? | 0:02:11 | 0:02:13 | |
Well, this mix of Donald Trump
and Angela Merkel was created | 0:02:13 | 0:02:16 | |
using the same tool,
a tool called Deepfakes. | 0:02:16 | 0:02:25 | |
To be clear, this is not just a face
swap like you might see on Snapchat. | 0:02:25 | 0:02:29 | |
This is artificial intelligence that
has learned what Trump's face looks | 0:02:29 | 0:02:34 | |
like and then made it copy
Merkel's facial expressions. | 0:02:34 | 0:02:37 | |
What's fascinating is that these
weren't made by a team | 0:02:37 | 0:02:40 | |
of researchers, or a Hollywood
visual effects department. | 0:02:40 | 0:02:42 | |
These were made by individuals
following an online tutorial | 0:02:42 | 0:02:44 | |
on a desktop machine. | 0:02:44 | 0:02:53 | |
Now, to see how easy it is,
we're going to do it. | 0:02:53 | 0:02:56 | |
We're going to take my face
and make me President. | 0:02:56 | 0:02:59 | |
We trained a neural network
by feeding it video of some | 0:02:59 | 0:03:02 | |
of my past appearances. | 0:03:02 | 0:03:03 | |
We mixed it with President Trump's
State of the Union Address. | 0:03:03 | 0:03:06 | |
The software broke the video
into individual frames, | 0:03:06 | 0:03:08 | |
run them through the network and,
in less than a day, | 0:03:08 | 0:03:11 | |
this was the result. | 0:03:11 | 0:03:20 | |
All of us, together, as one team... | 0:03:20 | 0:03:28 | |
So, this is the original
video of Trump. | 0:03:28 | 0:03:30 | |
And this is me, on his head. | 0:03:30 | 0:03:32 | |
We all share the same home. | 0:03:32 | 0:03:33 | |
I'm not sure it's an improvement,
but that does seem to be | 0:03:33 | 0:03:37 | |
President Spenley Trump. | 0:03:37 | 0:03:37 | |
The other half of the experiment
didn't go quite so well. | 0:03:37 | 0:03:40 | |
This is Click presenter
Donald Kelly. | 0:03:40 | 0:03:45 | |
Now, this was a very short
and quick experiment. | 0:03:45 | 0:03:48 | |
It's far from perfect. | 0:03:48 | 0:03:49 | |
It's blurry, you can see
the edges and sometimes - | 0:03:49 | 0:03:52 | |
well, it's just downright scary. | 0:03:52 | 0:03:53 | |
But had we left the network to train
for longer, on better videos, | 0:03:53 | 0:03:57 | |
we could have got much
more convincing results. | 0:03:57 | 0:03:59 | |
Now, Deepfakes has hit
the headlines in recent weeks, | 0:03:59 | 0:04:00 | |
but it's not because of Trump
or Nicolas Cage, or even me. | 0:04:00 | 0:04:07 | |
It's because of porn. | 0:04:07 | 0:04:10 | |
An online community has been
using AI to put Hollywood | 0:04:10 | 0:04:12 | |
actresses' faces onto adult
movie stars' bodies. | 0:04:13 | 0:04:14 | |
Now, obviously we can't show
you much of the resulting videos, | 0:04:14 | 0:04:17 | |
but they feature a number
of female celebrities. | 0:04:18 | 0:04:20 | |
The videos are stolen,
and so are the faces. | 0:04:20 | 0:04:23 | |
I was surprised but,
at the same time, not really, | 0:04:23 | 0:04:26 | |
because of how technology
is advancing so much that it's just | 0:04:26 | 0:04:29 | |
seems kind of inevitable. | 0:04:29 | 0:04:30 | |
However, the context
of the material, taking a celebrity | 0:04:30 | 0:04:32 | |
or a well-known face -
or even anyone's face, | 0:04:33 | 0:04:35 | |
for that matter - and putting it
on a porn performer's body, | 0:04:35 | 0:04:38 | |
and essentially creating this
fake, non-consensual | 0:04:38 | 0:04:40 | |
porn, it's disturbing. | 0:04:40 | 0:04:51 | |
It was definitely
a disturbing thing to see. | 0:04:51 | 0:04:53 | |
Are people going to take, like,
pictures of ex-girlfriends and put | 0:04:53 | 0:04:56 | |
them on porn performers? | 0:04:56 | 0:05:05 | |
Issues surrounding consent
and copyright have led the website | 0:05:05 | 0:05:08 | |
hosting this content to ban Deepfake
photography, and the | 0:05:08 | 0:05:10 | |
communities making it. | 0:05:10 | 0:05:11 | |
Reddit too, the site
where the community started, | 0:05:11 | 0:05:13 | |
changed its rules to forbid
involuntary fake pornography. | 0:05:13 | 0:05:15 | |
Away from porn, doesn't take much
imagination to see how one | 0:05:15 | 0:05:18 | |
could create international outrage
by making fake statements | 0:05:18 | 0:05:20 | |
from world leaders. | 0:05:20 | 0:05:21 | |
Something that may become possible
very soon, thanks to some software | 0:05:21 | 0:05:24 | |
that we looked at last year. | 0:05:24 | 0:05:26 | |
This is Lyrebird. | 0:05:26 | 0:05:29 | |
The idea here is that I can train
a neural network with samples | 0:05:29 | 0:05:32 | |
of my voice and then it will be able
to speak like me. | 0:05:32 | 0:05:36 | |
Harry hoped he would see some
success from the current project. | 0:05:36 | 0:05:54 | |
Parents should look out for... | 0:05:54 | 0:05:56 | |
The software asks you to read out
at least 30 sentences | 0:05:56 | 0:05:59 | |
of its choosing, from which it can
pull out the basic building blocks | 0:05:59 | 0:06:02 | |
of words, the phonemes,
that can then be put back together | 0:06:02 | 0:06:05 | |
in any order. | 0:06:05 | 0:06:06 | |
In other words, "in other words". | 0:06:06 | 0:06:13 | |
I've always been a big
fan of One Direction. | 0:06:13 | 0:06:15 | |
They were, quite frankly,
better than the Beatles. | 0:06:16 | 0:06:20 | |
SPENCER LAUGHS. | 0:06:20 | 0:06:27 | |
Although the creators of Lyrebird
are aware that this technology | 0:06:27 | 0:06:30 | |
could be misused, they say that
by releasing it as a free tool, | 0:06:30 | 0:06:34 | |
well, at least the public
will become aware that fake voices | 0:06:34 | 0:06:36 | |
are already a reality. | 0:06:37 | 0:06:38 | |
AS DONALD TRUMP: Great, the best! | 0:06:38 | 0:06:39 | |
One idea that we are considering is
to watermark the audio | 0:06:39 | 0:06:42 | |
samples that we produce. | 0:06:42 | 0:06:43 | |
So we are able to detect immediately
if it is generated by us. | 0:06:43 | 0:06:49 | |
So, how do we protect ourselves
from having our online photos, | 0:06:49 | 0:06:52 | |
videos and sound recordings used
to create fake us-es? | 0:06:52 | 0:06:54 | |
At the moment, we are in a wild,
wild west situation. | 0:06:54 | 0:06:57 | |
We don't know the attitude
of the courts to this problem. | 0:06:57 | 0:07:00 | |
We don't have a clear piece
of legislation that would cover it. | 0:07:00 | 0:07:03 | |
We have piecemeal laws on privacy,
copyright, trademark and passing off | 0:07:03 | 0:07:06 | |
that would be useful to somebody
in trying to stop | 0:07:06 | 0:07:09 | |
this from happening. | 0:07:09 | 0:07:10 | |
We don't have a clear legal
definition and we don't have a clear | 0:07:10 | 0:07:13 | |
piece of legislation
that is exactly on point. | 0:07:14 | 0:07:16 | |
And until we have that, this legal
uncertainty will continue. | 0:07:16 | 0:07:18 | |
The morality and the legality
of Deepfakes are murky issues. | 0:07:18 | 0:07:21 | |
Just as we are wrestling
with the fact that we can't trust | 0:07:21 | 0:07:24 | |
what we read, very soon we will need
to confront the fact | 0:07:24 | 0:07:28 | |
that we can't trust anything
we see or hear either. | 0:07:28 | 0:07:49 | |
Hello, and welcome
to The Week In Tech. | 0:07:49 | 0:07:51 | |
It was the week that Google's
dedicated health farm announced it | 0:07:51 | 0:07:54 | |
has created an algorithm that can
protect high blood pressure, | 0:07:54 | 0:07:57 | |
as well as risk of heart attacks
or strokes, simply by scanning | 0:07:57 | 0:08:00 | |
a person's eyes. | 0:08:00 | 0:08:02 | |
As Boston Dynamics keep
on showing us how intelligent | 0:08:02 | 0:08:05 | |
robots are becoming,
experts this week warned that | 0:08:05 | 0:08:07 | |
artificial intelligence in the wrong
hands is ripe for exploitation. | 0:08:07 | 0:08:10 | |
Drones turned into missiles,
fake videos manipulating public | 0:08:10 | 0:08:20 | |
opinion and automated hacking
are just three of the | 0:08:20 | 0:08:23 | |
And Amazon CEO Jeff Bezos
is getting a new clock. | 0:08:24 | 0:08:26 | |
But it's not one you can
pick up from a shop. | 0:08:26 | 0:08:29 | |
Costing a huge $42 million -
or £30 million - it is designed | 0:08:29 | 0:08:33 | |
to run for 10,000 years
and construction began this week | 0:08:33 | 0:08:35 | |
inside a hollowed-out
mountain in Texas. | 0:08:35 | 0:08:37 | |
The Vice President of Facebook's
adverts found himself | 0:08:37 | 0:08:39 | |
in hot water this week,
after tweeting that Russian-backed | 0:08:39 | 0:08:42 | |
ads were not designed
to sway the US elections. | 0:08:42 | 0:08:44 | |
Rob Goldman's tweet came after 13
Russians were charged with meddling | 0:08:44 | 0:08:47 | |
in the election via social media. | 0:08:47 | 0:08:55 | |
His views were not those
of Facebook itself. | 0:08:55 | 0:08:57 | |
And a conspiracy theory video
claiming that survivors of last | 0:08:57 | 0:09:00 | |
week's Florida shooting are "crisis
actors" somehow became YouTube's | 0:09:00 | 0:09:02 | |
number one trending clip
before being removed. | 0:09:02 | 0:09:14 | |
And finally, pictures
of Samsung's latest phone, | 0:09:14 | 0:09:16 | |
the Galaxy S9 were leaked ahead
of its launch at the | 0:09:16 | 0:09:19 | |
Mobile World Congress,
starting on Sunday - | 0:09:19 | 0:09:21 | |
ironically, via an app released
by the company itself. | 0:09:21 | 0:09:26 | |
We'll move on now
to video game news. | 0:09:26 | 0:09:28 | |
Remember Nintendo's Switch,
its hugely successful console that's | 0:09:28 | 0:09:30 | |
both mobile and which plugs
into a TV? | 0:09:30 | 0:09:33 | |
Well, the Japanese gaming giant has
now created a host of rather unusual | 0:09:33 | 0:09:36 | |
new peripherals which wildly alter
how the machine is used. | 0:09:36 | 0:09:39 | |
And Marc Cieslak has been getting
all bent out of shape over it. | 0:09:39 | 0:09:55 | |
HE PLAYS A MUSICAL SCALE. | 0:09:55 | 0:09:56 | |
You may be forgiven for thinking
that this cardboard is the packaging | 0:09:57 | 0:10:00 | |
for the new peripherals
for the Nintendo Switch console. | 0:10:00 | 0:10:02 | |
However, the cardboard
are the peripherals themselves. | 0:10:02 | 0:10:04 | |
Called Labo, it's a range of devices
which includes things like a piano, | 0:10:04 | 0:10:08 | |
motor bike handlebars,
fishing rod and even a robot suit. | 0:10:08 | 0:10:10 | |
Straps on the shoes... | 0:10:10 | 0:10:16 | |
I might look like I'm stomping
around in a slightly weird way. | 0:10:16 | 0:10:20 | |
But this game asks you to really get
into the character of a giant robot. | 0:10:20 | 0:10:24 | |
And, if I pull out my visor... | 0:10:24 | 0:10:26 | |
I activate first-person mode. | 0:10:26 | 0:10:27 | |
For precision destruction! | 0:10:27 | 0:10:39 | |
Called Toy-Cons, they are all
constructed from folded cardboard. | 0:10:39 | 0:10:41 | |
Some use elastic bands
and all use the Switch's motion | 0:10:41 | 0:10:44 | |
sensing controllers. | 0:10:44 | 0:10:48 | |
I think Labo is a big deal
for the Nintendo Switch, | 0:10:48 | 0:10:51 | |
just because it proves that Nintendo
is capable of continue to innovate | 0:10:51 | 0:10:54 | |
on an already innovative product. | 0:10:54 | 0:10:56 | |
The fact that it is made out
of cardboard and your existing | 0:10:56 | 0:10:59 | |
controllers fit in, I think that
will blow parents' minds and, | 0:10:59 | 0:11:02 | |
more importantly, blow
children's minds as well. | 0:11:02 | 0:11:05 | |
But before you can play
with your Toy-Con, you've | 0:11:05 | 0:11:08 | |
got to build at first,
something that you might worry | 0:11:08 | 0:11:11 | |
requires the prowess of an origami
expert crossed with the advanced | 0:11:11 | 0:11:14 | |
flatpack furniture building skills
of a self-assembly sensei. | 0:11:14 | 0:11:16 | |
Building these devices takes
varying lengths of time. | 0:11:16 | 0:11:18 | |
More complicated Toy-Cons,
like the robot suit, | 0:11:18 | 0:11:20 | |
can take up to eight
hours to complete. | 0:11:20 | 0:11:26 | |
But that's part of the appeal
of Labo, taking pleasure | 0:11:26 | 0:11:29 | |
from the building of the devices
that you are about to | 0:11:29 | 0:11:32 | |
use, and understanding
how they go together. | 0:11:32 | 0:11:33 | |
A little bit of patience and some
deft folding results in this. | 0:11:34 | 0:11:43 | |
Nintendo reckons this
is a radio controlled car. | 0:11:43 | 0:11:45 | |
Last time I looked, cars had wheels. | 0:11:45 | 0:11:51 | |
My completed Toy-Con,
which I can make move around, | 0:11:52 | 0:11:54 | |
because the Switch controllers have
got HD rumble and it | 0:11:54 | 0:11:57 | |
means that you can have
different levels of rumble. | 0:11:57 | 0:11:59 | |
Allowing this particular
Toy-Con to move about. | 0:11:59 | 0:12:01 | |
Now, this only took me about ten
minutes to build, all in all. | 0:12:01 | 0:12:05 | |
And because the Switch controllers
have an IR camera in them, | 0:12:05 | 0:12:08 | |
on the Switch itself,
you can see where | 0:12:08 | 0:12:10 | |
the Toy-Con is going. | 0:12:10 | 0:12:25 | |
Each one of the Toy-Cons
comes with a game. | 0:12:25 | 0:12:27 | |
Some are more complicated
than others, but will require | 0:12:27 | 0:12:30 | |
an element of physical control,
which comes courtesy | 0:12:30 | 0:12:32 | |
of the folded cardboard. | 0:12:32 | 0:12:40 | |
The games themselves
are more like mini-games. | 0:12:40 | 0:12:41 | |
But that's not the point. | 0:12:42 | 0:12:43 | |
This is more about creativity
and making something than it is | 0:12:43 | 0:12:46 | |
a hard-core gaming experience. | 0:12:46 | 0:12:47 | |
But I do question the durability
of cardboard peripherals. | 0:12:47 | 0:12:57 | |
How does that go back in there? | 0:12:57 | 0:12:58 | |
Not very, based
on my time with them. | 0:12:59 | 0:13:01 | |
We've managed to have a pit
stop with our very own | 0:13:01 | 0:13:04 | |
cardboard mechanic. | 0:13:04 | 0:13:04 | |
So, while I managed to damage my
cardboard motorcycle, | 0:13:05 | 0:13:05 | |
repairs are really quite easy. | 0:13:05 | 0:13:07 | |
There were two different offerings
so far, the Variety Pack, | 0:13:07 | 0:13:09 | |
which includes five different
Toy-Cons, priced at £59.99, and | 0:13:09 | 0:13:12 | |
the Robosuit, which costs £69.99. | 0:13:12 | 0:13:13 | |
That seems like a lot
of money for cardboard toys | 0:13:13 | 0:13:16 | |
with bits of string for guts. | 0:13:16 | 0:13:19 | |
Nintendo hasn't yet said
whether they are going to give | 0:13:20 | 0:13:22 | |
you replacement parts for that,
or whether you are going to have to | 0:13:22 | 0:13:26 | |
scavenge cardboard from supermarkets
or things like that. | 0:13:26 | 0:13:28 | |
So it's going to be interesting
to see how much Nintendo | 0:13:28 | 0:13:31 | |
are expecting you to spend on top
of the base game and cardboard kits. | 0:13:31 | 0:13:41 | |
This week, Caterpillar announced
the release of a new smartphone. | 0:13:41 | 0:13:43 | |
You'd be forgiven for not even
knowing they produced such a thing. | 0:13:44 | 0:13:47 | |
These devices are specifically aimed
at the construction industry. | 0:13:47 | 0:13:51 | |
But this one has a few
interesting features. | 0:13:51 | 0:13:55 | |
An upgrade to their FLIR
thermal imaging camera, | 0:13:56 | 0:13:58 | |
the addition of a laser beam
for measuring how far away | 0:13:58 | 0:14:01 | |
something is, or room size,
and the standout feature, a nose. | 0:14:01 | 0:14:04 | |
Yes, it can smell. | 0:14:04 | 0:14:11 | |
Or, more specifically,
it has an indoor air quality sensor | 0:14:11 | 0:14:15 | |
which aims to alert users
if there are high levels | 0:14:15 | 0:14:17 | |
of volatile organic compounds -
or VOCs - in the air, | 0:14:18 | 0:14:26 | |
something commonly found in paint,
solvents and cleaning products. | 0:14:26 | 0:14:28 | |
Sound a bit niche? | 0:14:28 | 0:14:34 | |
Well, its creators don't think so. | 0:14:34 | 0:14:36 | |
Builders, plumbers, electricians,
carpenters, farmers. | 0:14:36 | 0:14:37 | |
These type of people kind
of generally get overlooked | 0:14:37 | 0:14:40 | |
by the everyday phone vendors. | 0:14:40 | 0:14:41 | |
So, what we are doing
is understanding the technology | 0:14:41 | 0:14:44 | |
that we can integrate
into our products that really | 0:14:44 | 0:14:46 | |
makes their lives better. | 0:14:46 | 0:14:53 | |
Next week on the show, we'll be
bringing you all of the latest news | 0:14:53 | 0:14:57 | |
and releases from NWC in Barcelona. | 0:14:57 | 0:14:58 | |
That was Lara. | 0:14:58 | 0:15:04 | |
Now, earlier we looked
at how one face can be | 0:15:06 | 0:15:09 | |
transplanted onto another. | 0:15:09 | 0:15:15 | |
Next, it's time to meet the people
who took this man's face | 0:15:15 | 0:15:18 | |
and body and turned him
into a completely different species. | 0:15:18 | 0:15:24 | |
The team behind War For The Planet
Of The Apes is hoping to win | 0:15:24 | 0:15:28 | |
the Best Visual Effects Oscar next
weekend. | 0:15:28 | 0:15:30 | |
If it does, it will be the second
Oscar in a row for Dan Lemon. | 0:15:30 | 0:15:38 | |
Bad place. | 0:15:38 | 0:15:39 | |
Human zoo. | 0:15:39 | 0:15:39 | |
Bad human. | 0:15:40 | 0:15:42 | |
Bad humans. | 0:15:42 | 0:15:43 | |
Soldiers. | 0:15:43 | 0:15:45 | |
Soldiers... | 0:15:45 | 0:15:48 | |
War For The Planet Of The Apes
represents the effort of over 500 | 0:15:48 | 0:15:52 | |
people in visual effects. | 0:15:52 | 0:16:00 | |
Some of us worked on the movie
for, like, two years. | 0:16:00 | 0:16:03 | |
The movie runs about two
hours and 20 minutes, | 0:16:03 | 0:16:06 | |
and all but 15 shots in the movie
had visual effects. | 0:16:06 | 0:16:09 | |
Many of the heaviest shots
in the movie took over 1400 hours | 0:16:09 | 0:16:12 | |
per frame to render. | 0:16:12 | 0:16:16 | |
So, that's a core hours. | 0:16:16 | 0:16:18 | |
So we have a lot of those processors
working at the same time. | 0:16:18 | 0:16:21 | |
Maybe the frames wouldn't come back
for two days, three days. | 0:16:21 | 0:16:24 | |
Bad place. | 0:16:24 | 0:16:25 | |
I find long time ago, after zoo... | 0:16:25 | 0:16:28 | |
So, the razor's edge
that we walk is figuring out how | 0:16:28 | 0:16:31 | |
to take our apes and adjust them,
and make the performance readable | 0:16:31 | 0:16:34 | |
to a human audience,
so it is legible as something that | 0:16:34 | 0:16:37 | |
you and I can connect with. | 0:16:37 | 0:16:44 | |
But also, not to take it so far
that suddenly it doesn't | 0:16:44 | 0:16:47 | |
feel ape-like any more. | 0:16:47 | 0:16:48 | |
Somehow it feels too human. | 0:16:48 | 0:16:49 | |
That is the fine line
that we ride and that | 0:16:49 | 0:16:56 | |
requires our animators to really... | 0:16:56 | 0:16:57 | |
You know, it's their kind
of skill and experience that | 0:16:58 | 0:17:00 | |
comes into play there. | 0:17:00 | 0:17:03 | |
This particular movie plays as sort
of this epic Western, you know? | 0:17:04 | 0:17:07 | |
Where they are travelling from one
location to the next and you get | 0:17:07 | 0:17:10 | |
to see a lot of different
environments, and spaces. | 0:17:10 | 0:17:16 | |
The big environment
was the prison camp. | 0:17:16 | 0:17:18 | |
That is where most of the second
half of the movie takes place. | 0:17:18 | 0:17:22 | |
The prison camp, we actually built
it near the Vancouver Airport | 0:17:22 | 0:17:30 | |
in British Columbia. | 0:17:30 | 0:17:31 | |
It was a 70,000 square feet set. | 0:17:31 | 0:17:33 | |
So it was a really big set. | 0:17:33 | 0:17:35 | |
But it was surrounded by over
100,000 square feet of green screen. | 0:17:35 | 0:17:38 | |
We needed all that screen
because we had big wide shots | 0:17:38 | 0:17:41 | |
that were set quite low. | 0:17:41 | 0:17:45 | |
And beyond this set, we needed
to put the Sierra Nevada mountains. | 0:17:45 | 0:17:49 | |
We used a process called
photogrammetry, where we went up | 0:17:49 | 0:17:52 | |
in a helicopter and shot reference
up and down the Sierra Nevadas | 0:17:52 | 0:17:55 | |
in that kind of region. | 0:17:55 | 0:17:57 | |
And then we turned those
still photographs into | 0:17:57 | 0:18:04 | |
three-dimensional geometry
using the photogrammetry process. | 0:18:04 | 0:18:06 | |
And we were able to use those pieces
of geometry sort of like a kit set. | 0:18:06 | 0:18:19 | |
And in the kind of traditional model
making sense, we were able to take | 0:18:19 | 0:18:23 | |
geometry from those mountains,
cut them up and then put | 0:18:23 | 0:18:25 | |
them together into a way
where we could achieve specific | 0:18:25 | 0:18:28 | |
compositions that matched what
the director was after for that set. | 0:18:28 | 0:18:31 | |
We developed this new piece
of software called Totara. | 0:18:31 | 0:18:34 | |
Totara is an ecosystem simulator. | 0:18:34 | 0:18:35 | |
So, we built the terrain
and we sort of map resources. | 0:18:35 | 0:18:38 | |
We said, this is where the good soil
is, this is where the bad soil is. | 0:18:38 | 0:18:42 | |
And then we let the plants
grow from these seeds. | 0:18:42 | 0:18:45 | |
We ran this similation over
the equivalent of 80 years | 0:18:45 | 0:18:48 | |
inside the computer. | 0:18:48 | 0:18:48 | |
And it allowed the trees to grow up. | 0:18:49 | 0:18:51 | |
And as the trees grew,
they competed with one | 0:18:51 | 0:18:53 | |
another for resources. | 0:18:53 | 0:18:54 | |
So, they would kind of try
to reach higher and higher. | 0:18:54 | 0:18:57 | |
And what happened was a lot
of complexity emerged | 0:18:57 | 0:18:59 | |
from that simulation. | 0:18:59 | 0:19:00 | |
It looked a lot more realistic,
and we got a lot more realistic | 0:19:00 | 0:19:04 | |
variation and naturalism
from that simulation. | 0:19:04 | 0:19:05 | |
One of the things that are so great
about our job is not knowing | 0:19:05 | 0:19:09 | |
what the next thing is. | 0:19:09 | 0:19:11 | |
And that, for us, is the thing
that is so much fun, | 0:19:11 | 0:19:14 | |
to be able to be, like,
OK, here is the creative challenge. | 0:19:14 | 0:19:17 | |
How can we take our technical tools
and bend them to tell this story, | 0:19:17 | 0:19:21 | |
or what can we invent,
what can we make up to be | 0:19:21 | 0:19:24 | |
able to tell the story? | 0:19:24 | 0:19:25 | |
No, no, no... | 0:19:26 | 0:19:28 | |
OK... | 0:19:28 | 0:19:30 | |
You might remember that late last
year I had a brilliant chat | 0:19:31 | 0:19:34 | |
with Andy Serkis about his role
as Caesar in War For The Planet | 0:19:34 | 0:19:38 | |
Of The Apes, and the art
of motion capture in general. | 0:19:38 | 0:19:41 | |
And you can watch that again right
now on our YouTube channel. | 0:19:41 | 0:19:48 | |
And next week we will get exclusive,
behind-the-scenes access to another | 0:19:48 | 0:19:51 | |
visual effects Oscar nominee,
Star Wars: The Last Jedi. | 0:19:51 | 0:19:55 | |
Now, as it happens, the visual
effects company that power Star Wars | 0:19:55 | 0:19:59 | |
has also been involved in something
rather different recently. | 0:19:59 | 0:20:03 | |
Just in time for Fashion Week
season, the London College | 0:20:04 | 0:20:11 | |
of Fashion has teamed up
with Industrial Light & Magic to put | 0:20:11 | 0:20:13 | |
on a show with a difference. | 0:20:13 | 0:20:19 | |
Two years in the making,
ILMxLAB is debuting its live CGX | 0:20:19 | 0:20:22 | |
technology in an augmented
reality catwalk experience. | 0:20:22 | 0:20:25 | |
Real-life models are joined
by a virtual avatar | 0:20:25 | 0:20:32 | |
that is controlled by a human,
wearing ILM's signature performance | 0:20:32 | 0:20:35 | |
capture gear backstage. | 0:20:35 | 0:20:36 | |
As the performer walks around,
a specially designed rig, | 0:20:36 | 0:20:38 | |
motion capture and depth sensing
cameras tracked her every move. | 0:20:38 | 0:20:42 | |
The avatar mirrors her
physicality in real-time. | 0:20:42 | 0:20:49 | |
Ahead of the show, we got
an exclusive sneaky | 0:20:49 | 0:20:52 | |
peek behind the scenes. | 0:20:52 | 0:20:53 | |
So, when we are calibrating,
we are solving your skeleton | 0:20:53 | 0:20:55 | |
from all the markers,
so that you know, OK, | 0:20:55 | 0:20:58 | |
that is how your wrist moves,
that is how your hip moves. | 0:20:58 | 0:21:01 | |
It gets the right
proportions and everything. | 0:21:01 | 0:21:04 | |
Having a live event,
where we are using the technology | 0:21:04 | 0:21:07 | |
that doesn't require a headset to be
put on, and it is also | 0:21:07 | 0:21:10 | |
not Star Wars-based,
that is quite a two-part | 0:21:10 | 0:21:13 | |
departure for us. | 0:21:13 | 0:21:13 | |
So, you know, we are really excited
to go into this new foray of what it | 0:21:13 | 0:21:18 | |
means to collaborate on a live
event, number one, and, number two, | 0:21:18 | 0:21:21 | |
just being out here in London. | 0:21:21 | 0:21:29 | |
It was really interesting to design
with the consideration | 0:21:30 | 0:21:32 | |
that it would be the Jedis. | 0:21:32 | 0:21:34 | |
So, the textures and materials
were chosen consciously | 0:21:34 | 0:21:36 | |
to make sure it reflects
what you guys can create. | 0:21:36 | 0:21:48 | |
No catwalk is complete, of course,
without a wardrobe change. | 0:21:49 | 0:21:51 | |
And so, during the show,
the virtual model's clothing | 0:21:51 | 0:21:54 | |
transforms via the real-life
performer taking a bow. | 0:21:54 | 0:21:56 | |
The gesture triggers
the change live. | 0:21:56 | 0:22:00 | |
To view the transformation, though,
tending fashionistas have to look | 0:22:01 | 0:22:03 | |
at a large five by three
metre LED screen. | 0:22:03 | 0:22:08 | |
It shows a live video feed
of the stage taken from the balcony. | 0:22:08 | 0:22:12 | |
The room around them comes to life,
too, with overlaid graphics, | 0:22:12 | 0:22:15 | |
turning this traditional interior
into a Macau inspired street scene. | 0:22:15 | 0:22:21 | |
The fashion industry
is based on emotion. | 0:22:21 | 0:22:23 | |
There is enormous
desire for newness. | 0:22:23 | 0:22:25 | |
So integrating technology
and fashion allows us | 0:22:25 | 0:22:38 | |
to create new experiences,
new garments, in this | 0:22:38 | 0:22:40 | |
case, for consumers
to enjoy and experience. | 0:22:40 | 0:22:42 | |
So, the last five minutes, all of
the models will stand in position. | 0:22:42 | 0:22:45 | |
Seeing how the fabric drapes
and falls, and how that mimics | 0:22:45 | 0:22:48 | |
into digital format,
that makes me really excited | 0:22:48 | 0:22:50 | |
because of the potential
of what you can do to fabric. | 0:22:50 | 0:22:53 | |
So, that kind of control
is something that I guess, | 0:22:53 | 0:22:56 | |
as designers, we don't
really normally have. | 0:22:56 | 0:22:58 | |
And that's what we really wanted
to kind of push for. | 0:22:58 | 0:23:02 | |
Eventually, the aim is to shrink
this elaborate setup down to a pair | 0:23:02 | 0:23:05 | |
of wearable goggles. | 0:23:06 | 0:23:07 | |
Let's hope they are
suitably en vogue! | 0:23:07 | 0:23:10 | |
Bravo! | 0:23:14 | 0:23:18 | |
And that's it from us for this week. | 0:23:18 | 0:23:21 | |
Don't forget we live on Twitter
@BBCClick and on Facebook, too. | 0:23:21 | 0:23:24 | |
You can find us there, hanging
around every day of every week. | 0:23:24 | 0:23:27 | |
Thanks for watching
and we will see you soon. | 0:23:27 | 0:23:29 |