Name: 都市の環境を理解するためには、都市の環境を理解するためには、... (Understanding Urban Environments Through the Use of...)
Uploaded: 2021-01-14T04:54:29.000Z
Duration: 44 min 29 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

様態の副詞

SPEAKER 1: Remco was previously working at Boeing.

And he got his degree from Brown University.

And he will tell us about how to simplify dance models with

the three buildings while still preserving legibility.

REMCO CHANG: Thank you guys for coming here.

So I'm here today to talk about kind of a broader

research question that I've been working on.

And the idea is try to understanding urban

environments through the use of a thing called urban

So this talk is actually going to get broken down

The first half is going to be on simplification of the urban

models, while maintaining urban legibility.

And this is a talk that I gave at SIGGRAPH this summer.

So I apologize to people that were there.

It will be a repeat, almost verbatim repeat.

And the second half will be on discussion and future work,

where I'll be talking about some of the things that we've

been working on, as well as some of the things that we

would like to be working on in the future.

And before I start, I'd just like to talk a little bit

And specifically, one thing that we've been really

interested in is in this idea of knowledge visualization.

And to give you an example of what we mean by knowledge

visualization, you can imagine like you have a screen of

labels, there's lots of text, and they're kind of

Now, if somehow you can take this screen and extract some

sort of higher knowledge, either from the scene or from

the user, then it is theoretically possible that

you can focus your resources on the things that you want

So in other words, we think of it as, you want to minimize

the resources that you're using, but you want to

maximize the information that you're giving to the user.

It can be CPU time, it could be a number of polygons.

And at this particular case, it really is just a number of

To give you an idea what we consider as a great knowledge

visualization paper, here's something done by Agrawala and

And this paper is on rendering effective route maps.

And here's an example of directions that would be given

by MapQuest. And you see that this direction

It shows you exactly how to get from point a to point b.

You don't really get a lot of information out of this.

Whereas, typically speaking, if you ask somebody to give

you directions, this will be something that

I mean, it's showing the highway 101 into

Where if emphasis more on how you get onto highway 101, or

So of course, in their paper that was published at

SIGGRAPH, 2001, they were able to mimic what

And in this case, really showing off the important

information in this task of giving people

So we want to take this idea of knowledge visualization and

And the question is, what is the knowledge in this scene?

To answer that, we turn to this idea of urban legibility.

And urban legibility is a term that was made famous by Kevin

Lynch in his 1960 book called The Image of the City.

So what he did for this book was that he went around the

city of Boston, and he just asked local residents, and

just kind of use a pen and sketch out their immediate

So what he actually got was a stack of these images that you

see on the right here, where people just simply sketched

out, you know, this is where I live, this is a big road

And he took this stack of sketched images, and he

categorized the important things into five groups.

He categorized into paths, which are highways, railroads,

Districts, industrial, residential district.

Nodes, which you can think of as areas where lots of

So as an example, Time Square in New York City.