机构：[1]Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science & Technology University, Beijing 100101, China[2]Computer School, Beijing Information Science and Technology University, Beijing 100101, China[3]Xuanwu Hospital Capital Medical University, 100053, China首都医科大学宣武医院
With the rapid development of computer technology and the increasing of multimedia data on the Internet, how to quickly find the desired information in the massive data becomes a hot issue. Image retrieval can be used to retrieve similar images, and the effect of image retrieval depends on the selection of image features to a certain extent. Based on deep learning, through self-learning ability of a convolutional neural network to extract more conducive to the high-level semantic feature of image retrieval using convolutional neural network, and then use the distance metric function similar image. In Corel dataset, this method has a higher precision and recall and satisfactory results were obtained. The experiment proves the validity of the image retrieval algorithm.
基金：
the Funding Project for Natural Science Foundation of China (Grant No. 61671070),
the Opening Project of Beijing Key Laboratory of Internet Culture and Digital Dissemination Research (Grant No.ICDD201608)
the Project of Computer Teaching Reform of Beijing Information Science and Technology University (Grant No. 5111623409).
语种：
外文
WOS：
第一作者：
第一作者机构：[1]Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science & Technology University, Beijing 100101, China[2]Computer School, Beijing Information Science and Technology University, Beijing 100101, China
通讯作者：
通讯机构：[1]Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science & Technology University, Beijing 100101, China[2]Computer School, Beijing Information Science and Technology University, Beijing 100101, China
推荐引用方式(GB/T 7714)：
Hailong Liu,Baoan Li,Xueqiang Lv,et al.Image Retrieval Algorithm Based on Convolutional Neural Network[J].PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016).2016,133:
APA：
Hailong Liu,Baoan Li,Xueqiang Lv&Yue Huang.(2016).Image Retrieval Algorithm Based on Convolutional Neural Network.PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016),133,
MLA：
Hailong Liu,et al."Image Retrieval Algorithm Based on Convolutional Neural Network".PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016) 133.(2016)
