A metadatabase system for semantic image search by a mathematical model of meaning
A metadatabase system for semantic image search by a mathematical model of meaning
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DOI：
10.1145/190627.190639
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发表时间：
1994-12
期刊：
影响因子：
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通讯作者：
Y. Kiyoki;T. Kitagawa;T. Hayama
中科院分区：
文献类型：
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作者：
Y. Kiyoki;T. Kitagawa;T. Hayama
在多媒体数据库系统的设计中，最重要的问题之一就是根据用户的印象和图像的内容动态地提取图像。在本文中，我们提出了一个元数据库系统，通过给出代表用户印象和图像内容的关键字来实现图像的语义关联搜索。该元数据库系统提供了多种功能，通过使用代表图像特征的元数据来执行图像的语义关联搜索。这些功能是通过使用我们提出的意义数学模型来实现的。意义的数学模型被扩展以计算用于明确且动态地检索图像的关键词的特定意义。该模型的主要特点是语义关联搜索是在正交语义空间中进行的。创建该空间是为了动态计算图像和关键字的元数据项之间的语义等价性或相似性。
In the design of multimedia database systems, one of the most important issues is to extract images dynamically according to the user's impression and the image's contents. In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.This metadatabase system provides several functions for performing the semantic associative search for images by using the metadata representing the features of images. These functions are realized by using our proposed mathematical model of meaning. The mathematical model of meaning is extended to compute specific meanings of keywords which are used for retrieving images unambiguously and dynamically. The main feature of this model is that the semantic associative search is performed in the orthogonal semantic space. This space is created for dynamically computing semantic equivalence or similarity between the metadata items of the images and keywords.