考虑检索词义多样性的图像检索系统设计
关键字：词义多样性、图像检索、多媒体技术。
毕业论文设计说明书外文摘要
Title Considering persity meaning of image retrieval system design
Abstract
With multimedia technology, computer technology, communication technology and the rapid development of network technology and application, people have been able to use various means to collect and produce various kinds of types of multimedia data. Study how to organize and manage using these information is becoming more and more realistic. For unstructured image information, the retrieval method based on text efficiency is low, people developed based on the content retrieval technology. But a big problem because the content retrieval, and our demand is higher and higher, we need to solve the problem of meaning of persity. Meaning of persity mainly exist the ambiguity of Chinese and Chinese characters has a long history, profound, a word often have multiple meanings, the meanings of a word is more extensive. So we do have to study also many deficiencies and holes. Hope you to point out mistakes and correct them. Semantic problems mainly exist in the image of the gap between the low-level visual features and high-level semantic, computer calculation it is often difficult to persity to illustrate meaning. Here we need to design a variety of algorithms to establish clear model, otherwise the search results will be very disappointing.
Keywords meaning of persity;image retrieval;multimedia technology
目 次
1绪论.1
1.1课题背景1
1.2图像检索现状1
1.3本文研究主要内容.2
1.4论文结构2
2基于语义的图像检索系统介绍3
2.1图像语义特征提取算法3
2.2语义特征提取.3
2.3对象类别及对象空间关系语义提取5
2.4基于分类的方法.6
3 具有检索词的多义性的图像检索系统.7
3.1总要概述。。.7
3.2系统介绍.7
3.3实验以及成果展示8
4代码展示
结论
致谢
参考文献
1 绪论
1.1课题背景
随着多媒体技术及Internet的迅速发展，各行各业对图像的使用越来越广泛，图像信息资源的检索显得越来越重要，图像检索已经成为现在研究的重点。从20世纪70年代有关图像检索的研究就已经开始研究，那时候主要是基于文本的图像检索及时。到90年代以后出现了基于内容的图像检索技术。但是这2种检索技术并不能很完善地解决我们用户的需求，很多时候我们依然找不到自己很需要的图像，而是在搜索结果的表头出来一些相关性不高的图像。为此，提出了一种在互联网上进行图像检索的新方法-语义图像检索，它是根据图像的逻辑特征和抽象属性进行检索，使计算机检索图像的能力接近人类的理解水平的检索技术，但是如何来提取词义多样性，目前还处于研究和探索阶段，基于词义多样性进行图像检索式图像检索技术的发展趋势，在这样的背景下，我们做了这样一个研究尝试，做了这样一个毕业设计。
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