Enhancing Cloud Image Retrieval Efficiency through Secure Optimization-Reference-Cited by-同舟云学术

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Enhancing Cloud Image Retrieval Efficiency through Secure Optimization

Published:2024-04-18 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
language:
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Author:

BalaKrishna N.¹,Sakthivel M.²,Ushasri G.Sai³,Thanmai J.Naga³,Kumar K.Bharath³,Swamy G.Venkaiah³

Affiliation:

1. Mohan Babu University Data science,School of Computing,Department of AI/ML,Tirupati,AndhraPradesh,India

2. Sri Shanmugha College of Engineering and Technology, Sankari,Department of Artificial Intelligence,Salem,Tamilnadu,India,637304

3. Sree Vidyanikethan Engineering college,Department of CSE Sree,Tirupati,Andhra pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616388/10616396/10617332.pdf?arnumber=10617332

Reference18 articles.

1. Content-based image retrieval (CBIR) in remote clinical diagnosis and healthcare,” in Encyclopedia E-Health Telemedicine;Estrela,2016

2. A Secure Face-Verification Scheme Based on Homomorphic Encryption and Deep Neural Networks

3. Deep learning of binary hash codes for fast image retrieval

4. Cloud security issues and challenges: A survey

5. Enabling search over encrypted multimedia databases

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