在大规模多媒体数据库中进行基于内容的检索，高维数据索引结构的研究是重要问题。
The study of high dimensional data index method is the key problem of content based search in large scale multimedia databases.
如何实现特大图像基于内容的检索是航测、遥感和卫星图像等应用中的关键问题之一。
It is one of the key problems for the application of aerial, remote sensing and satellite images how to retrieve super large image quickly.
在医学信息领域，对医学图像物理特征的研究有助于实现图像的自动分析和基于内容的检索。
In medical informatics, the study of medical images 'physical features contributes to implement auto analysis and content-based retrieval.
本文应用一篇文章的被引用信息提出了文献的“重要性”的概念，并将它应用到基于内容的检索结果的排序中。
On the basis of the frequency one article is quoted, we propose the concept importance of document and apply it to the ordering of retrieval results based on content.
目前现有的视频检索方法主要有基于文本信息的检索方法，基于帧的视频检索方法，以及基于内容的检索方法。
There are three methods which are widely used recently in video retrieval:method based on text, on frame, and on video object.
现有的数据库索引技术，普遍不能适应多维空间属性的搜索，特别是无法对大容量的多媒体数据进行基于内容的检索。
The existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
引入基于内容的检索方法，为使用户方便的根据特征或例子进行照片查询。分析和设计了人事档案管理系统中的照片的特征索引机制。
Using content based retrieval, design the photo feature index mechanism in a Personnel File Management System, which will offer users great convenience to inquire by feature or example.
此构建块允许您基于指定的文档类型从PortalDocumentManager检索内容。
This builder allows you to retrieve the content from Portal Document Manager based on the document type specified.
可以基于静态或入站请求中的分类、关系和属性检索信息，以便能够获得特定于上下文的内容。
Information can be retrieved based on static classifications, relationships, and attributes, or from those in an inbound request so that context specific content can be harvested.
下个月在西班牙的马德里，研究员将在基于内容的多媒体检索国际研讨会上展出他们的成果。
The researchers will present the work at the International Workshop on Content-Based Multimedia Indexing in Madrid, Spain, next month.
第一种，基于内容文本的检索，和item相关的内容，特别是文字，可用来计算相似性。
For the first, content-based analysis, content associated with the item, especially text, is used to compute similarity.
Picitup是世界上领先的基于内容的图像检索服务的web3.0开发者和服务者。
Picitup is a leading web 3.0 developer and provider of content based image search services.
除了预期的数据源操作支持之外，SDO还提供了基于类似XPath的表达式(包括查询)设置和检索s DO内容的能力。
In addition to the expected data structure manipulation support, SDOs also provide the ability to set and retrieve the contents of an SDO based on an XPath-like expression, including queries.
php有一些检索基于Web的内容的函数。
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images Retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
Shot boundary detection is the first essential step in content-based video retrieval.
视频对象分割在基于内容的视频编码和视频检索中均有重要的应用。
Video object segmentation has important application in content-based video encoding and video retrieval.
情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
肤色特征在MPEG4、基于内容的图像检索、虚拟现实等领域有着广泛的应用。
The features of skin color are wide used in the areas of MPEG4, content based image retrieve and virtual reality.
由于计算机可以理解rdf描述和携带的元数据的含义，因此可以做到基于内容的精确检索。
Because computer can understand the meaning of metadata carried by RDF, our searching engine can provide information retrieval based on concept or content.
基于内容的3d模型检索是多媒体信息检索的热点研究问题之一。
The content-based 3d model retrieval is one of the hot research problems in the multimedia information retrieval.
运动图像的分割在基于内容的视频编码及视频检索中占有重要的地位。
The segmentation for moving pictures is important in content-based video encoding and video retrieval.
本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
基于内容的图像检索技术是当前多媒体数据库系统和数字图书馆研究中的一个热点。
Contentbased image retrieval is a hotspot in the research of multimedia database system and digital library.
通过使用表象性的视觉信息，对医学图像范畴内的典型图像进行了基于视觉内容的检索实验。
By using the visual presentative information, the visual content based retrieve experiments were made through typical image in domain of medical image.
基于内容的图像检索技术是当今研究的热点领域之一。
The image search technique based on content becomes a hot research topic.
该系统能够实现常规的基于内容视频检索的功能，同时还能针对实时视频流数据，实现特定视频段的流式检索。
It can carry out conventional content-based video retrieval, and can also search special video clip in real-time video stream.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
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