Encrypted image classification based on multilayer extreme learning machine

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Status	已發表Published
	Encrypted image classification based on multilayer extreme learning machine
	Wang, W.; Vong, C. M.; Yang, Y.; Wong, P. K.
	2017-07-01
Source Publication	Multidimensional Systems and Signal Processing (SCI-E)
ISSN	1573-0824
Pages	851-865
Abstract	Nowadays, numerous corporations (such as Google, Baidu, etc.) require an efficient and effective search algorithm to crawl out the images with queried objects from databases. Moreover, privacy protection is a significant issue such that confidential images must be encrypted in corporations. Nevertheless, decrypting and then classifying millions of encrypted images becomes a heavy burden to computation. In this paper, we proposed an encrypted image classification framework based on multi-layer extreme learning machine that is able to directly classify encrypted images without decryption. Experiments were conducted on popular handwritten digits and letters databases. Results demonstrate that the proposed framework is secure, efficient and accurate for classifying encrypted images.
Keyword	Encrypted image classification Privacy preservation Multi layer extreme learning machine ELM auto encoder
Language	英語English
The Source to Article	PB_Publication
PUB ID	20351
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Vong, C. M.
Recommended Citation GB/T 7714	Wang, W.,Vong, C. M.,Yang, Y.,et al. Encrypted image classification based on multilayer extreme learning machine[J]. Multidimensional Systems and Signal Processing (SCI-E), 2017, 851-865.
APA	Wang, W.., Vong, C. M.., Yang, Y.., & Wong, P. K. (2017). Encrypted image classification based on multilayer extreme learning machine. Multidimensional Systems and Signal Processing (SCI-E), 851-865.
MLA	Wang, W.,et al."Encrypted image classification based on multilayer extreme learning machine".Multidimensional Systems and Signal Processing (SCI-E) (2017):851-865.

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