Now, the content-based query and retrieval technology of multimedia data is becoming the key technology of Digital Libraries.
基于内容的多媒体数据查询和检索技术是数字图书馆中至关重要的一项技术。
Typically this node allows the incoming message to be routed based on its content, where XPath is used as the expression language to query the content (message processing routing language).
通常，该节点允许根据内容路由输入消息，其中使用XPath作为表达式语言来查询内容(消息处理路由语言)。
To improve the efficiency and accuracy of searching technology based on special area, the content of user query is extended according to stock ontology to be more relevant.
为了加强面向领域的搜索技术查询有效性与准确性，在证券领域本体的基础上对检索表达式进行扩展，使检索内容更加相关。
In content based image retrieval system, search engine retrieves the images similar standard to the Cey words query image according to a similarity measure.
在基于图像内容的图像检索系统中，搜索引擎检索图像类似于按照相似标准来查询图像。
Being a new style of human machine interface, the query by humming technology has important and practical meanings to content based music retrieval online.
这种新型的人机接口，对于在互联网上实现基于内容的音乐检索有着巨大的现实意义。
In addition to general query such as single query, complex query, etc, our system also provide a query based structure and content.
并行数字图书馆系统除了提供目前数字图书馆提供的简单查询、复杂查询等一般查询功能之外，还提供了基于结构和内容的查询。
The retrieval technique of content-based image database is a focus of query technology studying nowadays, many institutes being engaged in this project have obtained some achievements home and abroad.
基于内容的图像数据库检索技术是当今的一个研究热点，国内外的许多研究机构都在从事这一课题的研究，并取得了一定的研究成果。
The retrieval technique of content-based image database is a focus of query technology studying nowadays.
基于内容的图像数据库检索技术是当今的一个研究热点。
The content-based cluster P2P search model depending on a set distance is proposed in this paper to reduce the query time and redundant messages.
本文提出利用集合差异度实现基于内容聚类的P2P搜索模型提高查询效率和减少冗余消息。
A new indexing method for content-based music information retrieval is presented, and it is implemented on a Query By Humming (QBH) system.
提出一种新型的音乐信息检索索引方法，并将其应用于哼唱检索系统上，获得可喜的成果。
In many current multimedia database systems, query or retrieval is only based on descriptive KeyWords of media, it ignores another important information resource the content of media.
现有的许多多媒体数据库系统只提供了基于媒体描述关键字的检索和查询，却忽略了另一个重要的信息来源——媒体的内容。
Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
The most commonly used method for content-based video retrieval is query by example, so the video similarity measurement becomes a basal problem.
基于内容的视频检索中的一个最普遍的方法是根据给定例子视频的检索，因此视频相似度度量是基于内容检索中的一个基本问题。
A set algebraic model that can uni1 ~ the keywords-based relation query and content-based retrieval is presented.
提出了一种能够把图像关系查询和基于内容查询相统一的集合代数模型。
A set algebraic model that can uni1 ~ the keywords-based relation query and content-based retrieval is presented.
提出了一种能够把图像关系查询和基于内容查询相统一的集合代数模型。
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