The developing tendency and the hotspot of research of the content - based image retrieval are expected in the paper 对基于内容的图象检索系统的发展趋势研究热点进行了展望。
However , there has a big hurdle in content - based image retrieval till the present moment , i . e . , “ semantic gap ” 但是基于内容的图像检索遇到了一个棘手的问题,即“语义鸿沟” 。
Content - based image retrieval ( cbir ) is a technique for retrieving images on the basis of image features such as color , texture and shape , etc 基于内容的图像检索技术是指利用图像内容对图像进行查询。
Content - based image retrieval ( cbir ) is a technique for retrieving images on the basis of image features such as color , texture and shape , etc 图象的内容包括图象的颜色特征、形状特征、纹理特征、语义特征等。
At last , a prototype image retrieval system is constructed , which realizes the content - based image retrieval and feedback image retrieval 最后,通过对图像检索系统模型的分析与研究,设计并实现了一个图像检索原型系统。
The paper presents the analysis of the state of art of content - based image retrieval technologies , and points out the future developing trend 本文对基于内容的压缩域图像检索技术现状进行了分析,并指出了未来的发展趋势。
The paper makes the analysis of the retrieval results with different fusion policies and shows that our method is promising in the content - based image retrieval 结果表明,所提出的新方法比基于颜色直方图的单样本检索性能好。
Content - based image retrieval ( cbir ) has been one of most active researches in computer vision , image database , knowledge discovery and so on 基于内容的图像检索( cbir )是当前计算机视觉、图像数据库与知识挖掘等领域研究的热点之一。
Two effective ways has been proposed to solve the problem : one is content - based image retrieval technique which search target images by low - level content feature 基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。
This type of search ? which collectively came to be known as content - based image retrieval ? has progressed only slowly beyond the graduate - project stage 这类的搜寻统称为以内容为基础的图像检索法,过去进展缓慢,可以说刚刚脱离毕业报告的阶段。