| 基于内容的图像检索技术综述 |
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| 引用本文： | 吕原华,贾世杰,郭宇明. 基于内容的图像检索技术综述[J]. 数字社区&智能家居, 2009, 0(21) |
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| 作者姓名： | 吕原华 贾世杰 郭宇明 |
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| 作者单位： | 大连交通大学; |
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| 摘 要： | 随着计算机网络以及多媒体技术的飞速发展,基于文本的传统图像搜索已经不能满足高效准确的要求,所以基于内容的图像检索(Content-Based Image Retrieval,简称CBIR)技术越来越受到用户们的重视。本文对CBIR技术的主要原理与方法进行了分析并对以后的发展趋势进行了展望。
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| 关 键 词： | 基于内容的图像检索 特征提取 兴趣点 特征相似性度量 用户反馈 |
Content-Based Image Retrieval |
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| LV Yuan-hua,JIA Shi-jie,GUO Yu-ming. Content-Based Image Retrieval[J]. Digital Community & Smart Home, 2009, 0(21) |
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| Authors: | LV Yuan-hua JIA Shi-jie GUO Yu-ming |
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| Affiliation: | Dalian Jiaotong University;Dalian 116028;China |
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| Abstract: | With the rapid development of the Internet and the technology of multimedia, the traditional image retrieval base on text is not content with the request of high efficiency and nicety, so users pay more and more attention to Content-Based Image Retrieval (CBIR). In this article, the tenet of the CBIR technology and methods will be analyse,and the future of CBIR will be talked too. |
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| Keywords: | CBIR character distill interest point character match user-feedback |
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