Verifiable Privacy-Enhanced Rotation Invariant LBP Feature Extraction in Fog Computing-Reference-Cited by-同舟云学术

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Verifiable Privacy-Enhanced Rotation Invariant LBP Feature Extraction in Fog Computing

Published:2023-12 Issue:12 Volume:19 Page:11518-11530
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Bian Mingyun¹^ORCID,Liu Joseph²^ORCID,Sun Shifeng³,Zhang Xinpeng¹^ORCID,Ren Yanli¹^ORCID

Affiliation:

1. School of Communication and Information Engineering, Shanghai University, Shanghai, China

2. Faculty of Information Technology, Monash University, Clayton, VC, Australia

3. School of Cyber Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10288179/10049502.pdf?arnumber=10049502

Reference32 articles.

1. Secure Image LBP Feature Extraction in Cloud-Based Smart Campus

2. Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data

3. A Secure Rotation Invariant LBP Feature Computation in Cloud Environment

4. A Privacy-Preserving Outsourcing Scheme for Image Local Binary Pattern in Secure Industrial Internet of Things

5. Privacy-Preserving Threshold-Based Image Retrieval in Cloud-Assisted Internet of Things

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1. A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging;Lecture Notes in Computer Science;2023

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