Image Retrieval System based on a Binary Auto-Encoder and a Convolutional Neural Network

被引：6

作者：

Ferreyra-Ramirez, Andres ^{[1
]}

Rodriguez-Martinez, Eduardo ^{[1
]}

Aviles-Cruz, Carlos ^{[1
]}

Lopez-Saca, Fidel ^{[2
]}

机构：

[1] Univ Autonoma Metropolitana, Unidad Azcapotzalco, Dept Elect, Av San Pablo 180, Mexico City, DF, Mexico

[2] Univ Autonoma Metropolitana Azcapotzalco, Div Ciencias Basica & Ingn, Ciencias Comp, Mexico City, DF, Mexico

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2020年 / 18卷 / 11期

关键词：

Binary autoencoder; CBIR; hash; convolutional neural networks;

D O I：

10.1109/TLA.2020.9398634

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The amount of image content on the Internet has increased dramatically in recent years; its precise search and retrieval is a challenge at present. The methods that have shown high efficiency are those based on convolution neural networks (CNN) and, particularly, binary coding methods based on hashing functions. This article presents a new image retrieval scheme based on attributes from a CNN, an efficient low-dimensional binary auto-encoder, and, finally, a near-neighbor retrieval stage. The proposed methodology was tested with two image datasets CIFAR-10 and MNIST. The results are compared with existing methods in the literature.

引用

页码：1925 / 1932

页数：8

共 25 条

[1] Asery R., 2017, IMAGE RETRIEVAL TECH
[2] Face Classification by Local Texture Analysis through CBIR and SURF Points
Benavides, C.
Villegas, J.
Roman, G.
Aviles, C.
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (05) : 2418 - 2424
[3] Carreira-Perpiñán MA, 2015, PROC CVPR IEEE, P557, DOI 10.1109/CVPR.2015.7298654
[4] Binary Pattern Descriptors for Scene Classification
Cervantes, Salvador
Mexicano, Adriana
Cervantes, Jose-Antonio
Rodriguez, Ricardo
Fuentes-Pacheco, Jorge
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2020, 18 (01) : 83 - 91
[5] Deng J, 2009, PROC CVPR IEEE, P248, DOI 10.1109/CVPRW.2009.5206848
[6] Garg M., 2019, R I MED J
[7] Ghosh Neha, 2018, Proceedings of International Conference on Recent Advancement on Computer and Communication. ICRAC 2017. Lecture Notes in Networks and Systems (LNNS 34), P305, DOI 10.1007/978-981-10-8198-9_32
[8] Deep Residual Learning for Image Recognition
He, Kaiming
Zhang, Xiangyu
Ren, Shaoqing
Sun, Jian
[J]. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 770 - 778
[9] Deep Constrained Siamese Hash Coding Network and Load-Balanced Locality-Sensitive Hashing for Near Duplicate Image Detection
Hu, Weiming
Fan, Yabo
Xing, Junliang
Sun, Liang
Cai, Zhaoquan
Maybank, Stephen
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (09) : 4452 - 4464
[10] Krizhevsky Alex, 2009, LEARNING MULTIPLE LA

← 1 2 3 →