其实，把视频里的音轨用语音识别转化成文字索引并时间编码的技术已经有了。
The technology for converting the audio tracks of video via speech recognition to plain text indexed to time-code has been around for a while.
例如，当索引Web页面时，储存某个关键词的额外信息可能会很有用，例如这个关键词关联的URL或者经过文字分析后得出的权重系数。
For instance, when indexing web pages, it may be useful to store extra information about a particular word, such as an associated URL or weighting factor based on some analysis of the text.
(z索引的)层次数目也是很重要的，这些层可以放在Web页面上用于调整扩展文字和更密集图形图像的溢出。
Also important is the number of layers (Z-index) that can be placed on a Web page to accommodate the overflow of the expanded text and more intensive graphic images.
它能索引到文字内容和微数据，因此能被高效地搜索到，而应用只需要到一个单独的地方找到它并快速地取到它即可。
It would index textual content and metadata so that it could be efficiently searched and applications only had to go to a single location to find it and quickly retrieve it.
这部世界上最大的搜索引擎现在提供了几十种从综合新闻到文字处理在线服务，它们被综合在一个全球网络中，通过数十个大型数据中心的运行。
The world's biggest search engine now offers dozens of services, from news aggregation to word processing, all of which are tied together and run on a global network of dozens of huge data-centres.
你也可以自己定制一个搜索文件夹，让搜索引擎把在特定邮件区域中出现特定文字的邮件找出来。
Or you can create a custom search Folder by telling it to search for certain words that appear within specific message fields.
并且，不管您的站点的外观多么漂亮，搜索引擎都不能找到它的文本文字(文字的含义就更不用提了)。
And, no matter how great your site looks, search engines simply can't figure out what your text says (let alone what it means).
搜索引擎对文字内容的搜索当然已经被证明是很高效的，但是对视频搜索来说就还有很大的挑战。
While search certainly has proven effective for discovering text content, there are significant technical challenges to video search.
因此，只要您能够用标签上的文字来区分这些按钮，那么您就不需要考虑索引(index)属性或其他任意属性。
Therefore, as long as you can differentiate between the buttons by the words on the labels, you do not have to be concerned about the index property or any other properties.
它的索引是非常小的。他们对10%的文字大小为您的网站上，即使他们每一个字母索引词。
Its indexes are very small. They are on the order of 10% of the size of the text on your site even though they index every single alphanumeric word.
从数字视频中提取文字对基于内容的视频索引的建立具有重要意义。
Text extraction in digital video plays important role in content based video indexing.
他们对10%的文字大小为您的网站上，即使他们每一个字母索引词。
They are on the order of 10% of the size of the text on your site even though they index every single alphanumeric word.
您可以在这里修改显示在您的浏览器顶端的标题文字。搜索引擎优化的重要步骤之一。
This is where you can change the text displayed in the headline of your browser.
搜寻将从指定索引的文字开头开始执行部分比对，并传回清单中第一个符合指定子字串的项目。
The search performs a partial match starting from the beginning of the text at the specified index, and returns the first item in the list that matches the specified substring.
他们从搜索引擎的结果中删除文字、名字和短语。
They have expunged words, names and phrases from search engine results.
使用指定的索引键、文字和影像建立项目并将它加入至集合。
Creates an item with the specified text and image and adds it to the collection.
图像视频中的文字为描述和注释图像内容提供了十分重要的信息，也是图像视频索引与检索的重要依据。
Text in image and video plays an important role in describing and annotating image content, and also provides the important clues for video index and retrieval.
视频文字作为一种高级语义信息，对视频内容的理解、索引具有重要作用。
As a senior semantic information, they may do great help to video indexing and video content understanding.
该报告称，互联网搜索引擎即将包含文字和语音结果。
The report said Internet search engines will soon include both text and spoken results.
基于文本的查询技术是通过对图像资源中的标注文字建立索引，由用户输入关键字进行查询。
The former is implemented by creating index for the label text of image, and then the users can input keywords to search.
人们常常说，文字是搜索引擎的食物，它就是谷歌，雅虎和兵来排名的网站。
It's often said that text is the food of search engines, it's what Google, Yahoo! And Bing use to rank websites.
蜘蛛不索引Flash影片的内容，所以如果你在网站上使用闪光灯，不要忘了给替代文字说明。
Spiders don't index the content of Flash movies, so if you use Flash on your site, don't forget to give it an alternative textual description.
针对视频中文本信息在视频序列和视频索引中的重要性，本文提出了一种基于文字混合特征的文本定位算法。
Since the text information is important in the video stream and video indexing, this paper provides an algorithm based on multiple character of the text to locate text block in video stream.
使用指定的索引键、文字和影像建立项目，并将它加入至集合中。
Creates an item with the specified key, text, and image, and adds it to the collection.
使用指定的索引键、文字和影像建立树状节点，并将它加入至集合中。
Creates a tree node with the specified key, text, and image, and adds it to the collection.
使用指定的索引键、文字和影像建立树状节点，并将它加入至集合中。
Creates a tree node with the specified key, text, and image, and adds it to the collection.
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