Open Access
ARTICLE
Image Retrieval Based on Deep Feature Extraction and Reduction with Improved CNN and PCA
Rongyu Chen, Lili Pan*, Yan Zhou, Qianhui Lei
Central South University of Forestry and Technology, Changsha, 410000, China
* Corresponding Author: Lili Pan. Email:
Journal of Information Hiding and Privacy Protection 2020, 2(2), 67-76. https://doi.org/10.32604/jihpp.2020.010472
Received 01 July 2020; Accepted 28 July 2020; Issue published 11 November 2020
Abstract
With the rapid development of information technology, the speed and
efficiency of image retrieval are increasingly required in many fields, and a
compelling image retrieval method is critical for the development of information.
Feature extraction based on deep learning has become dominant in image retrieval
due to their discrimination more complete, information more complementary and
higher precision. However, the high-dimension deep features extracted by CNNs
(convolutional neural networks) limits the retrieval efficiency and makes it difficult
to satisfy the requirements of existing image retrieval. To solving this problem, the
high-dimension feature reduction technology is proposed with improved CNN and
PCA quadratic dimensionality reduction. Firstly, in the last layer of the classical
networks, this study makes a well-designed DR-Module (dimensionality reduction
module) to compress the number of channels of the feature map as much as
possible, and ensures the amount of information. Secondly, the deep features are
compressed again with PCA (Principal Components Analysis), and the
compression ratios of the two dimensionality reductions are reduced, respectively.
Therefore, the retrieval efficiency is dramatically improved. Finally, it is proved on
the Cifar100 and Caltech101 datasets that the novel method not only improves the
retrieval accuracy but also enhances the retrieval efficiency. Experimental results
strongly demonstrate that the proposed method performs well in small and
medium-sized datasets.
Keywords
Cite This Article
R. Chen, L. Pan, Y. Zhou and Q. Lei, "Image retrieval based on deep feature extraction and reduction with improved cnn and pca,"
Journal of Information Hiding and Privacy Protection, vol. 2, no.2, pp. 67–76, 2020. https://doi.org/10.32604/jihpp.2020.010472