图像检索技术在“经典阅读”教学系统中的实现与应用被引量：1

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

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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。 [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＂.

作者吴坤颉夏青白权威吴旭

机构地区长春金融高等专科学校文化基础部北京邮电大学图书馆北京邮电大学可信分布式计算与服务教育部重点实验室

出处《现代图书情报技术》 CSSCI 北大核心 2014年第5期90-95,共6页 New Technology of Library and Information Service

基金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) 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

关键词特征语义图像检索特征向量经典阅读素质教育 Feature-Semantical Image retrieval Feature vectors Classic reading Quality education

分类号 G252.7 [文化科学—图书馆学] G434 [文化科学—教育技术学]

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参考文献19

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