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This is Scientific American 60 Secomds, Space. I'm Larry Greenemeier, got a minute?
这里是科学美国人60秒，技术系列。我是拉里·格林梅耶。
Your New Year's resolution to start recording every single thing you do, aka life-logging, seemed like a fun idea. But now even you don't want to sit through all the footage of last week's family barbeque to figure out how the dog got out of the yard.
如果你以前的新年愿望是用相机记录下你做的每一件事情比如跑步，那是个不错的点子。不过现在就连你自己也不愿意为了弄清楚狗狗是怎样跑出院子的而一整天一张张浏览上周家庭聚餐的照片。
Thankfully, you won't have to. You'll run a computer program that evaluates hours of insipid images and automatically culls together the most interesting moments into a personalized trailer.
好消息是你再也不用这样做了。你大可以运行一个电脑程序，它可以自动过滤掉无聊的图片，并自动筛选出有意思的瞬间，就像是一个个人影集。
At least that's what machine-learning researchers at Carnegie Mellon University are promising with LiveLight. It's an automated system for summarizing unedited video. LiveLight's algorithm can analyze footage from Google Glass, for example, and pick out unique activity while skipping over parts that are repetitive or where nothing happens.
这就是卡耐基梅隆大学的机器学习研究者运用LiveLight操作的非常具有前景的项目。它可以自动分析并筛选图像。比如，在谷歌眼镜中分析图像，调取具有特殊活动的图像，过滤掉重复性或无特殊事件发生的图像。
The researchers see several uses, such as analyzing long stretches of video from surveillance and traffic cameras to find an intruder or the cause of an accident. It could also be an alternative to video search engines, something computer scientists have been working on for years without much success.
研究者还发掘了其他用处，比如调取监控录像找出犯罪嫌疑人或肇事者。还可以作为视频搜索引擎，这一点恰恰是计算机科学家历经几载也没有取得太大成绩的方面。
Google helped fund the development of LiveLight. Let's hope they make it a one-click option on all YouTubevideos.
谷歌投资赞助了该项研究成果。希望有一天在所有的YouTube 视频上都可以用它一键操作。
Thanks for the minute for Scientific American 60 Secomds, Tech. I'm Larry Greenemeier.
感谢收听。
