>>
[music playing] This program is brought to you by Stanford
University.
Please visit us at Stanford.edu.
Siddharth Batra: Our technology empowers anyone with a video
camera to very easily, automatically, place pictures,
videos, and advertisements within their home videos and then
they can upload them onto the web.
Anybody with a home video, like the one in front of you,
can, within a few seconds and a couple of clicks of the
mouse, select the surface they want to replace with their
picture advertisement, and upload this video to our web
site.
After which, within a few minutes of processing, they can
see-- they can see a variety of ads on that content.
Users can take their homemade videos, place ads in them, and
put them online.
So, in a way similar to what Google AdSense did with
bloggers, people can now sit at home, try and make videos,
and get money for that.
>> Ampere application allows people to create novel visual
effects in their videos.
For example, if said person has a video of their house and
they want to see how would a painting look on their wall,
they could actually go ahead and use ampere technology to
put that new painting on the wall and decide and get a
feeling for how it would look.
Siddharth Batra: The technologies in this form exist in
professional movie houses or, umm, movie studios.
But with the use of our technology, it allows amateurs and
normal people on the street with a camera and home videos to
very easily edit-- edit their home videos, place ads on
them, take pictures and...
>>
[cheering] You get a single image and our program can figure
out which part belongs in front and which parts are in the
back-- in the background.
We have extended this technology to videos and the
accelerometer has to figure out which parts of the scene are
actually in the foreground, that is the first sense so that
the ad could be placed on the wall behind the person.
Siddharth Batra: This technology is called the 3-D surface
tracker technology.
Umm, it starts off that we're given a video and a surface in
the video that we would like to replace with some other
content.
You begin by, umm, analyzing the video for all sorts of
camera motions.
Like, if the camera panning, or zooming in, or is the camera
itself moving.
So, for each pixel in that surface, we build a model of how
it looks like and what our belief is what it will look like
in the next frame.
If said lighting begins to change with the motion of the
video, or the sun, or the shadows, then we keep a belief of
what it will look like in the next frame and this is how we
track with very high subpixel accuracy.
You can have multiple copies of the same video and if,
suppose, you wanna show it to your parents, you can put a
nice poster there of Albert Einstein.
But if you wanna show it to your friends you can have a
Playboy poster there.
Anything you want. Yeah. >>
[laughing]
>>
[music playing] The proceeding program is copyrighted by
Stanford University. Please visit us at Stanford.edu.
