評論
打印
What I want to talk to you about today is
我今天想要談的是
virtual worlds, digital globes, the 3-D Web, the Metaverse.
虛擬世界,數字地球,三維網絡和網絡虛擬實境.
What does this all mean for us?
這些東西對于我們意味著什么?
What it means is the Web is going to become an exciting place again.
這意味著網絡又將變成一個令人激動的地方.
It's going to become super exciting as we transform
讓我們非常興奮的是隨著我們加入這個
to this highly immersive and interactive world.
身臨其境和高度交互的世界,
With graphics, computing power, low latencies,
這個擁有各種圖形,高計算能力和低延遲的世界.
these types of applications and possibilities
這類的應用程序和它創造的可能性
are going to stream rich data into your lives.
將把豐富的數據流帶進你的生活.
So the Virtual Earth initiative, and other types of these initiatives,
所以,虛擬地球的出現, 或者其它這種類型的程序的出現,
are all about extending our current search metaphor.
都是關于擴展我們當前的搜索方法的.
When you think about it, we're so constrained by browsing the Web,
思考一下,我們在瀏覽網絡時總是被限制著.
remembering URLs, saving favorites.
記網址,保存到"我的最愛".
As we move to search, we rely on the relevance rankings,
當搜索出現后,我們依賴于
the Web matching, the index crawling.
相關性排名,網絡匹配和索引檢索.
But we want to use our brain!
但我們要用我們的大腦!
We want to navigate, explore, discover information.
我們要自己去航行,探索和發現信息.
In order to do that, we have to put you as a user back in the driver's seat.
為了這樣做,我們必須把用戶放回駕駛員的座位上.
We need cooperation between you and the computing network and the computer.
我們需要你與網絡和計算機之間的合作.
So what better way to put you back in the driver's seat
有什么更好的方法比把你放在駕駛員的座位上
than to put you in the real world that you interact in every day?
把你放在每天都接觸的真實世界里還要好呢?
Why not leverage the learnings that you've been learning your entire life?
為什么不去利用你在生活中學過的知識呢?
So Virtual Earth is about starting off
所以,虛擬地球是關于
creating the first digital representation, comprehensive, of the entire world.
創造第一個數字表達的,綜合的世界.
What we want to do is mix in all types of data.
我們要做的是混合所有類型的數據.
Tag it. Attribute it. Metadata. Get the community to add local depth,
給它做上標記,加上屬性和元數據. 理解本地社區并加上本地內容
global perspective, local knowledge. --
全球的視角, 本地的知識.
So when you think about this problem,
那么,當你思考這個問題的時候,
what an enormous undertaking. Where do you begin?
這是多么大的一個任務. 你想, 從哪兒著手做呢?
Well, we collect data from satellites, from airplanes,
我們通過衛星,飛機
from ground vehicles, from people.
地面車輛和人來采集數據.
This process is an engineering problem,
這是我們的方法, 你知道, 這是一個工程問題.
a mechanical problem, a logistical problem, an operational problem.
一個機械問題, 一個邏輯問題和一個運營問題.
Here is an example of our aerial camera.
這是航空攝像機的一個例子.
This is panchromatic. It's actually four color cones.
這是一個全色相機. 它其實有四個彩色錐體.
In addition, it's multi-spectral.
另外, 它是多光譜的.
We collect four gigabits per second of data,
我們每秒種可以采集到4GB的數據,
if you can imagine that kind of data stream coming down.
如果你能想像這種數據流傳輸下來,
That's equivalent to a constellation of 12 satellites at highest res capacity.
那相當于一個12個衛星的星座用最高清分辨率拍攝的數據量.
We fly these airplanes at 5,000 feet in the air.
我們駕駛這些飛機到5000英尺的高空;
You can see the camera on the front. We collect multiple viewpoints,
你可以看到前置攝像機. 我們選擇
vantage points, angles, textures. We bring all that data back in.
多視點, 有利位置, 角度, 結構. 我們把數據帶回來.
We sit here -- you know, think about the ground vehicles, the human scale --
我們坐在這兒 -- 你知道, 關于地面車輛和人的比例.
what do you see in person? We need to capture that up close
你自己看到了什么? 我們需要近距離捕捉他們來建立一種
to establish that what it's like-type experience.
逼真的體驗.
I bet many of you have seen the Apple commercials,
我想你們大多數人都看過Apple商業展廣告,
kind of poking at the PC for their brilliance and simplicity.
有點嘲笑PC電腦來表現出他們的簡潔和光輝.
