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| Implementation and Application of Image Retrieval Technology in “Classic Reading” Teaching System |
| Wu Kun1, Xie Xiaqing2, Bai Quanwei3, Wu Xu2, 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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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”.
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Received: 14 December 2013
Published: 06 June 2014
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