| 基于内容的图像检索高层语义处理方法 |
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| 引用本文： | 席彩丽.基于内容的图像检索高层语义处理方法[J].图书情报工作,2009,53(9):121-124. |
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| 作者姓名： | 席彩丽 |
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| 作者单位： | 淮海工学院图书馆 |
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| 摘 要： | 从图像语义层次描述方式、图像语义抽取方法两个方面对利用语义进行图像检索的研究状况进行总结，提出建立语义模板用于支撑高层语义检索，同时应用多层次的相关反馈方法建立和修正图像低层特征与高层语义间的联系，缩小图像检索过程中的“语义鸿沟”，达到一定程度语义检索的目的。
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| 关 键 词： | 基于内容的图像检索 语义鸿沟 语义模型 知识表示 |
| 收稿时间： | 2008-10-20 |
| 修稿时间： | 2009-05-12 |
The Methods of High-Level Semantics Processing in Content-Based Image Retrieval |
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| Xi Caili.The Methods of High-Level Semantics Processing in Content-Based Image Retrieval[J].Library and Information Service,2009,53(9):121-124. |
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| Authors: | Xi Caili |
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| Abstract: | This paper reviews the state of the art of image retrieval using semantics mainly focusing upon two aspects: level of image’s semantic and image semantic extraction. Generating semantic template to support high level image retrieval, and using multilayer relevance feedback methods in the content based image retrieval(CBIR) could build and modify the association low level feature and high level semantic, which would be helpful to narrow the ‘semantic gap’ in image retrieval to reach the purpose of semantic retrieval to some extent. |
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| Keywords: | content-based image retrieval (CBIR) semantic gap semantic modeling knowledge representation |
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