Image Retrieval Algorithm Based on Convolutional Neural Network

DOI

10.2991/aiie-16.2016.64How to use a DOI?

Keywords

deep learning; convolutional neural network; feature extraction; image retrieval

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hailong Liu
AU  - Baoan Li
AU  - Xueqiang Lv
AU  - Yue Huang
PY  - 2016/11
DA  - 2016/11
TI  - Image Retrieval Algorithm Based on Convolutional Neural Network
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.64
DO  - 10.2991/aiie-16.2016.64
ID  - Liu2016/11
ER  -