An Efficient Deep Learning-based Content-based Image Retrieval Framework-Reference-Cited by-同舟云学术

An Efficient Deep Learning-based Content-based Image Retrieval Framework

Published:2022 Issue:2 Volume:43 Page:683-700
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Sivakumar M.,M. Saravana Kumar N.,Karthikeyan N.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v43n2/47413/pdf

Reference29 articles.

1. Content-based image retrieval using color, shape and texture descriptors and features;Alsmadi;Arabian Journal for Science and Engineering,2020

2. A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants;Garg;Neural Computing and Applications,2021

3. Content-based image retrieval method using the relative location of multiple ROIs;Lee;Advances in Electrical and Computer Engineering,2011

4. CBIR for classification of cow types using GLCM and color features extraction;Sutojo,2017

5. Content-based image retrieval based on visual words fusion versus features fusion of local and global features;Mehmood;Arabian Journal for Science & Engineering (Springer Science & Business Media BV,2018

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