For example, the applications are content-based video data indexing and querying, site monitoring system, infrared targets tracking and recognition system.
例如按内容对视频数据进行检索和查询，静态场景监测系统，红外目标跟踪与识别系统等。
Our experimental results show our method can effectively perform incremental data indexing, and can keep well the distance information between data objects.
实验结果表明，本文防哪个法可以有效的进行增量式数据索引，并交好的保持了数据对象间的距离信息。
This increase is due to the fact that data indexing and searching occurs on the application server; therefore, it is affected as the number of resources increases.
这种增长是由于程序服务器上所发生的数据索引和搜索操作；因为，随着资源数量的增长，响应时间就会受到影响。
To scale search and indexing operations, you can deploy multiple instances of the index data service to different servers.
要缩放搜索和索引操作，您可以将多个索引数据服务实例部署到不同的服务器。
Indexing large amounts of unstructured data is a difficult task regardless of the technologies involved.
不管使用什么技术，索引大量非结构化数据是一件很艰难的任务。
This text search package and its associated functions, referred to as the text search engine, is specifically designed to perform fast retrieval and automatic indexing of text data.
这个文本搜索包和它的相关函数被称为文本搜索引擎，它是专门设计用来执行文本数据的快速检索和自动索引。
Indexing is a process of converting text data into a format that facilitates rapid searching.
编制索引是将文本数据转换为有利于快速搜索的格式。
If your content store or data is multilingual you should set the indexing languages before creating your first index.
如果您的内容存储和数据是多种语言的，那么您应该在创建第一个索引之前设置索引语言。
The content cloud implements metadata and indexing services over the infrastructure cloud to provide abstracted data management for all content.
内容云实现了元数据和基础设施云的索引服务，可以提供对所有内容的抽象数据管理。
This crawling/indexing process is performed without human intervention, both to maximize efficiency and to avoid biases in data collation and categorization.
这个爬行/索引过程在没有人类干预的情况下执行，既最大化了效率，也避免了数据归集和分类方面的偏差。
The goal of indexing is to record all the named elements in the project's source code and store them with their related data.
索引的目标是记录项目源代码中所有已命名的元素并将它们与其相关数据一起存储。
When indexing data, you still may wish to exclude from indexing, certain query items, dimensions or hierarchies from a package.
在索引数据时，可能一直希望排除索引、某些查询项目、来自包的尺寸或层次结构。
At the top, you're either pumping data into your search application (indexing) or pulling data out of it (searching).
在顶层，你既可以往你的搜索应用灌入数据(建立索引)，也可以从它里面抽取数据(搜索)。
This is the first potentially tricky bit, depending on what kind of files you're indexing, how much the data in those files is structured, and how much of that structure you want to preserve.
这是第一个可能需要技巧的一步，看你对哪种文件建索引，那些文件中有多少数据是有结构的，有多少结构是你想保留的。
Generally, database problems can refer to any bottleneck due to database, including SQL queries, database tuning parameters, indexing issues, and data distribution problems.
通常，数据库问题可能是指由数据库导致的任何瓶颈问题，包括SQL查询、数据库优化参数、索引问题和数据分布问题。
However, no matter how well an RDBMS supports text indexing and searching, that activity is still constrained to the scope of the data within the particular RDBMS itself.
然而。不管rdbms支持文本索引和搜索功能如何优秀，该活动仍然受特定rdbms自身的数据范围的约束。
Service orientation encourages the use of stored procedures, which reduce data transfer, and also the use of various optimizations (such as view caching, indexing, and so on).
面向服务提倡使用存储过程(存储过程可以减少数据传输)和使用各种优化(例如视图缓存、索引等等)。
The drawback to this is that the data storage requires that you spend a lot of time and effort doing proper indexing.
这样做的缺点是数据存储要求很多时间和工作量建立正确的索引。
DB2 extends its common services, such as optimization, indexing, concurrency control, and utilities, across the traditional relational and XML column data.
DB 2对其涉及传统关系数据和xml列数据的常用服务进行了扩展，例如优化、索引、并行控制和实用工具。
Indexing All data consumes the most resources and can take a considerable amount of time to complete, it is not recommended for large data warehouses.
索引所有数据会消耗大量资源，并需要大量的时间来完成，不建议大型数据仓库使用。
It is not uncommon for applications to be written in such a way as to cause frequent or even constant indexing, and as the load of users and data increases, the indexing work gets harder and harder.
通常很少会以导致频繁甚至持续的索引的方式来编写应用程序，并且随着用户和数据负载的增加，索引工作会变得越来越难。
Along with new hierarchical storage management support for XML, DB2 features new indexing technology to speed searches involving XML data.
除了提供新的XML层次化存储管理支持之外，DB 2还提供了新的索引技术来加快涉及XML数据的搜索。
The data is then indexed using techniques such as XML pattern expression indexing, B-tree structural indexing, structural indexing, content or keyword indexing, and others.
然后，数据被使用诸如XML模式表达式索引、B-树结构索引、结构索引、内容或关键字索引之类技术以及其他技术进行索引。
DB2 services such as optimization, indexing, concurrency control, and utilities are extended to support XML data along with the relational data.
优化、编制索引、并行控制之类的DB 2服务和实用程序都可以进行扩展，以支持XML数据以及关系数据。
Indexing puts significant load on the operation of the Batch Report Service to retrieve both metadata and data.
索引将重要的加载放置在BatchReportService的操作上以便检索元数据和数据。
OmniFind supports indexing text data in stream file objects, using an IFS path to identify the file.
OmniFind支持索引流文件对象中的文本数据，它使用IFS路径来标识文件。
DB2 Viper introduces a new powerful and yet simple environment for storing, indexing, querying, and publishing both relational and XML data.
DB 2Viper为存储、索引、查询和发布关系数据和XML数据提供了一个强大而又简单的新环境。
During indexing detailed performance data is generated, in the form of "stat_.html" files generated in the log directory.
在索引详细性能数据期间生成，在日志目录中生成“ stat _ . html ”格式的文件。
MDC is a type of indexing that improves performance by reducing the amount of disk reads needed to access data, and by improving the speed of required disk input and output.
MDC是一种索引化(indexing)类型，它通过减少访问数据时需要的磁盘读取次数，以及通过提高磁盘输入输出所需要的速度来提高性能。
To populate the data, you can write your own indexing and submission system that will supply data to a Xapian index for processing.
为了填充数据，可以编写您自己的索引和提交系统来将数据提供给Xapian索引做处理。
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