Evolutionary Optimization Algorithm on Content based Image Retrieval System using Handcrafted features with Squeeze Networks-Reference-Cited by-同舟云学术

Evolutionary Optimization Algorithm on Content based Image Retrieval System using Handcrafted features with Squeeze Networks

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)
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Author:

Karthik T. S.¹,Krishna R.V. V.¹,Ramakrishna Rao T. K.²,Manoranjithem V.³,Kalaiarasi S.⁴,Jegajothi B.⁵

Affiliation:

1. Aditya College of Engineering and Technology,Department of ECE,Surampalem,Andhra Pradesh

2. Aditya College of Engineering and Technology,Department of CSE,Surampalem,Andhra Pradesh

3. Kalasalingam Academy of Research and Education,Department of Computer Science,Krishnankoil

4. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Tandalam,Chennai

5. Chennai Institute of Technology,Department of Center for Energy (solar & wind) Research,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741824/9741825/09742766.pdf?arnumber=9742766

Reference24 articles.

1. Content-based multi-source encrypted image retrieval in clouds with privacy preservation

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3. Efficient and privacy-protected content-based image retrieval without homomorphic encryption

4. A privacy-preserving content-based image retrieval scheme allowing mixed use of encrypted and plain images;iida;In 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),2020

5. SensIR: Towards privacy-sensitive image retrieval in the cloud

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