| 基于语义的图像检索应用研究 |
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| 引用本文： | 金大卫, 胡知元. 基于语义的图像检索应用研究[J]. 武汉大学学报 ( 信息科学版), 2009, 34(10): 1255-1259. |
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| 作者姓名： | 金大卫 胡知元 |
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| 作者单位： | 1中南财经政法大学信息学院,武汉市武珞路114号430073 |
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| 基金项目： | 国家自然科学基金资助项目(70473068) |
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| 摘 要： | 通过对图像固有的颜色、纹理、形状等特征的自动识别,结合相应的降维方法,改进了传统的图像检索技术,为多媒体数据的检索提供了有益的探索。
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| 关 键 词： | 图像检索 图像语义 内容特征 降维 |
| 收稿时间： | 2009-08-09 |
| 修稿时间： | 2009-08-09 |
A Study on Image Retrieval Based on Semantics |
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| JIN Dawei, HU Zhiyuan. A Study on Image Retrieval Based on Semantics[J]. Geomatics and Information Science of Wuhan University, 2009, 34(10): 1255-1259. |
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| Authors: | JIN Dawei HU Zhiyuan |
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| Affiliation: | 1Information School,Zhongnan University of Economics and Law,114 Wuluo Road,Wuhan 430073,China |
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| Abstract: | In the traditional image retrieval technology,people deal with the image by manual indexing,and then use text retrieval technology for .Such manual methods rely on,to a large extent,understanding of people which often ignore many inherent characteristics of the image information.This paper researches color,texture,shape and other characteristics in image to improve the traditional image retrieval which provide a useful exploration for multimedia data retrieval. |
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| Keywords: | image retrieval image semantics content features dimension reduction |
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