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This is Scientific American 60 Secomds, Space. I'm Larry Greenemeier, got a minute?
這里是科學美國人60秒，技術系列。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機記錄下你做的每一件事情比如跑步，那是個不錯的點子。不過現在就連你自己也不愿意為了弄清楚狗狗是怎樣跑出院子的而一整天一張張瀏覽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這樣做了。你大可以運行一個電腦程序，它可以自動過濾掉無聊的圖片，并自動篩選出有意思的瞬間，就像是一個個人影集。
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.
這就是卡耐基梅隆大學的機器學習研究者運用LiveLight操作的非常具有前景的項目。它可以自動分析并篩選圖像。比如，在谷歌眼鏡中分析圖像，調取具有特殊活動的圖像，過濾掉重復性或無特殊事件發生的圖像。
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.
研究者還發掘了其他用處，比如調取監控錄像找出犯罪嫌疑人或肇事者。還可以作為視頻搜索引擎，這一點恰恰是計算機科學家歷經幾載也沒有取得太大成績的方面。
Google helped fund the development of LiveLight. Let's hope they make it a one-click option on all YouTubevideos.
谷歌投資贊助了該項研究成果。希望有一天在所有的YouTube 視頻上都可以用它一鍵操作。
Thanks for the minute for Scientific American 60 Secomds, Tech. I'm Larry Greenemeier.
感謝收聽。
