| 剪纸艺术多媒体交互平台中的图像检索技术研究 |
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| 引用本文： | 韩立华,王晓芬,王玉梅.剪纸艺术多媒体交互平台中的图像检索技术研究[J].石家庄铁道大学学报(社会科学版),2013(4):71-75,80. |
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| 作者姓名： | 韩立华 王晓芬 王玉梅 |
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| 作者单位： | [1]石家庄铁道大学继续教育学院,河北石家庄050043 [2]石家庄铁道大学建筑与艺术学院,河北石家庄050043 [3]石家庄铁道大学图书馆,河北石家庄050043 |
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| 基金项目： | 2011年国家社科基金项目（11BG078）;2013年国家自然基金项目（61304176） |
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| 摘 要： | 利用信息技术手段保护非物质文化遗产资源是目前研究的热点之一，图像检索技术的研究是构建剪纸艺术多媒体交互平台的关键环节。分析了基于文本的图像检索（TBIR）和基于内容的图像检索（CBIR）的思路及算法，并在剪纸艺术多媒体交互平台中进行了实现。深入对比了两者的优缺点，探讨了两种检索方式相结合的可能途径，在此基础上提出利用自动语义标注技术解决图像检索中存在的“语义鸿沟”问题，有利于提高图像检索的效率和准确率。
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| 关 键 词： | 剪纸艺术 基于文本图像检索 基于内容图像检索 特征提取 语义标注 |
Research on Image Retrieval Technique in Paper-cut Art Multimedia Interactive Platform |
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| HAN Li-hua,WANG Xiao-fen,WANG Yu-mei.Research on Image Retrieval Technique in Paper-cut Art Multimedia Interactive Platform[J].Journal of Shijiazhuang Railway Institute(Social Sciences),2013(4):71-75,80. |
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| Authors: | HAN Li-hua WANG Xiao-fen WANG Yu-mei |
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| Institution: | 1. College of Continuing Education, Shijiazhuang Tiedao University, Shijiazhuang 050043, China 2. College of Architecture and Art, Shijiazhuang Tiedao University, Shijiazhuang 050043, China 3. Library, Shijiazhuang Tiedao University, Shijiazhuang 050043, China) |
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| Abstract: | Using information technology to protect intangible cultural heritage resources is one of the hot topics of current research, and the research on image retrieval technology is critical in the process of constructing paper-cut art multi-media interactive platform. The ideas and algorithms of text-based image retrieval （TBIR） and content-based image retrieval （CBIR） were analyzed which were implemented on the paper-cut art multi-media interactive platform. The advantages and disad- vantages of TBIR and CBIR were compared with and the approach of combining the two kinds of re- trieval methods were discussed, based on which the solution using automatic semantic annotation technology to solve the ＂semantic gap＂ existing in the image retrieval problem was proposed to im- prove the efficiency and accuracy of image retrieval. |
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| Keywords: | paper-cut art TBIR CBIR feature extraction semantic annotation |
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