A study on image searching method in super distributed database
A study on image searching method in super distributed database
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超分布式数据库图像检索方法研究
DOI：
10.1109/glocom.1997.638427
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Y. Sakai
中科院分区：
文献类型：
--
作者：
S. Sugawara;E. Yamaoea;Y. Sakai
本文提出了一种新的超分布环境下的图像信息搜索方法。首先，我们表明，搜索的性能可以评估熵减少，并提出了一种新的搜索方法的基础上熵减少，称为EBS方法。其次，我们将EBS方法应用于使用各种查询方案的图像搜索，例如，关键字搜索，颜色对匹配和浏览。第三，介绍了原型系统的设计思想和实验结果。
In this paper we propose a new searching method for image information in a super-distributed environment. First, we show that the performance of the search can be evaluated by entropy reduction, and propose a new searching method based on entropy reduction, called the EBS method. Second, we apply the EBS method to image searching using various kinds of query schemes, for example, keyword search, color-pair matching, and browsing. Third, the design concept and experimental results of the prototype system are introduced.