| 基于内容的图像检索技术研究进展及其在数字图书馆中的应用 |
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| 引用本文： | 王伟平.基于内容的图像检索技术研究进展及其在数字图书馆中的应用[J].图书情报工作,2009,53(9):116-120. |
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| 作者姓名： | 王伟平 |
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| 作者单位： | 潍坊学院图书馆 |
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| 摘 要： | 基于内容的图像检索技术是对图像的物理内容为加工对象的检索技术之一，主要实现方式包括基于颜色、纹理、形状、空间位置和语义等。其中基于颜色的图像检索发展最为成熟，而基于语义的检索则尚处于探讨、研究阶段。基于内容检索和基于文本检索在数字图书馆中可以融合共同提供检索服务。Google为这一尝试提供了在后控阶段的有效案例，而真正的实现两者的融合是在预处理阶段。两者结合在数字图书馆中的应用是可行的，相信能够提供更好的图像检索服务。
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| 关 键 词： | 基于内容的图像检索 图像检索 数字图书馆 |
| 收稿时间： | 2009-03-13 |
| 修稿时间： | 2009-05-12 |
Research Progress of Content-Based Image Retrieval and its Application in Digital Libraries |
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| Wang Weiping.Research Progress of Content-Based Image Retrieval and its Application in Digital Libraries[J].Library and Information Service,2009,53(9):116-120. |
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| Authors: | Wang Weiping |
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| Abstract: | Content based image retrieval is information retrieval technique that takes the physical content of images as its objects. It mainly includes retrieval with color, texture, shape, spatial and semantics, etc. Among the above methods, color based method is the most mature while semantic image retrieval is under pilot studies at present. Both content based and text based images can be incorporated into digital libraries to provide information retrieval services. Google has provided a successful case for the effort in post control stages. The real combination, however, is at the pre control stage. It is feasible to combine the both in digital libraries and believed to provide better image retrieval services. |
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| Keywords: | content-based image retrieval (CBIR) image retrieval digital libraries |
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