图像检索技术在“经典阅读”教学系统中的实现与应用<sup>*</sup>

doi:10.11925/infotech.1003-3513.2014.05.12

现代图书情报技术

2014, Vol. 30

Issue (5): 90-95 https://doi.org/10.11925/infotech.1003-3513.2014.05.12

应用实践

本期目录 | 过刊浏览 | 高级检索

图像检索技术在“经典阅读”教学系统中的实现与应用^*

吴坤¹, 颉夏青², 白权威³, 吴旭^{2, 3}

1 长春金融高等专科学校文化基础部长春 130028;
2 北京邮电大学图书馆北京 100876;
3 北京邮电大学可信分布式计算与服务教育部重点实验室北京 100876

Implementation and Application of Image Retrieval Technology in “Classic Reading” Teaching System

Wu Kun¹, Xie Xiaqing², Bai Quanwei³, Wu Xu^{2, 3}

1 Ministry of Culture Foundation, Changchun Finance College, Changchun 130028, China;
2 Beijing University of Posts and Telecommunications Library, Beijing 100876, China;
3 Key Laboratory of Trustworthy Distributed Computing and Service (BUPT),Ministry of Education, Beijing 100876, China

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摘要

【目的】扩展“经典阅读”教学系统的图像检索途径, 提高经典名著教学资源的利用率。【应用背景】“经典阅读”系统是基于阅读学分机制的教学体系创新平台, 增加图像检索功能是对已有文本检索的补充和拓展, 能够提升教学效果。【方法】建立基于特征语义的图像检索模型进行图像特征值提取、归一化和相似性度量, 实现检索请求提交、图像检索、结果反馈和图片管理等功能模块。【结果】实现图像分类自动化, 能够通过相关图像检索到相应图书, 准确率介于92%到100%之间。【结论】提升“经典阅读”教学系统的用户体验, 改善“经典阅读”教学效果。

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	吴坤
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关键词 ：特征语义, 图像检索, 特征向量, 经典阅读, 素质教育

Abstract：

[Objective] This paper trends to expand retrieval approach in “Classic Reading” Teaching System and improve utilization of classical teaching resources. [Context] “Classic Reading” Teaching System is a credit-based innovation platform on teaching system, and adding image retrieval function can greatly extend the existing text-based retrieval and improve teaching effects. [Methods] This paper establishes the Semantic-Based Image Retrieval Model including extracting features, vector normalization and similarity measurement, realizing four modules including query-submit, image-retrieval, result-feedback and image management. [Results] The images in the platform are classified automatically and students can find the book with a related image, and the precise of image retrieval lays between 92% and 100%. [Conclusions] It can improve user experience as well as the teaching effects of “Classic Reading”.

Key words： Feature-Semantical Image retrieval Feature vectors Classic reading Quality education

收稿日期: 2013-12-14 出版日期: 2014-06-06

G358TP391

基金资助:

*本文系国家高技术研究发展计划(863计划)“基于eID的典型示范应用”(项目编号: 2012AA01A404)和北京邮电大学2013年“经典阅读”教改项目“立体互动式”经典阅读“教学体系创新平台的构建”的研究成果之一。

通讯作者: 吴坤 E-mail:wukun3928@sohu.com

作者简介: 吴坤, 吴旭: 提出研究思路, 设计研究方案; 吴坤, 白权威: 建立并实现研究模型, 部署应用并进行实验、数据采集和分析; 吴坤, 颉夏青: 论文起草; 吴旭: 最终版本修订。

引用本文:

吴坤, 颉夏青, 白权威, 吴旭. 图像检索技术在“经典阅读”教学系统中的实现与应用^*[J]. 现代图书情报技术, 2014, 30(5): 90-95.
Wu Kun, Xie Xiaqing, Bai Quanwei, Wu Xu. Implementation and Application of Image Retrieval Technology in “Classic Reading” Teaching System. New Technology of Library and Information Service, 2014, 30(5): 90-95.

链接本文:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.05.12 或 https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I5/90

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