针对目前普遍运用的基于关键字检索（Keywords-Based Retrieval）的图像检索办法的种种缺乏，人们提出了基于形式的图像检索（CBIR，Content-Based Image Retrieval）技术。
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基于关键字的检索模型 Key-based Search Model
然而，目前流行的检索工具大多基于关键字查询，常常出现信息过载或有用信息丢失等现象。
However, the currently common search engines are based on keyword query, which usually causes the overloading of information or losing of useful information.
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。
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.
基于数字有机体数据库的搜索引擎使用户可以用一系列的关键字在多个数据库中检索同关键字相关的记录。
The search engine based on Digital Organism database System allows users to retrieve relevant records stored in multiple databases via a serial of keywords.
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