Color Image Retrieval Using Compacted Feature Vector with Mean-Count Tree-Reference-Cited by-同舟云学术

Color Image Retrieval Using Compacted Feature Vector with Mean-Count Tree

Published:2018 Issue: Volume:132 Page:1739-1746
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Aghav-Palwe Sushila,Mishra Dhirendra

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. “Survey Of Cbir Techniques And Semantics”.;Kekre;International Journal of Engineering Science and Technology (IJEST),2011

2. Retrieval of Images Using DCT and DCT Wavelet Over Image Blocks;Kekre;(IJACSA) International Journal of Advanced Computer Science and Applications,2011

3. “Shape Content Based Image Retrieval using LBG Vector Quantization.”;Kekre;(IJCSIS) International Journal of Computer Science and Information Security,2011

4. “CBIR using upper six FFT sectors of color images for feature vector generation”;Kekre;International Journal of Engineering and Technology,2010

5. “Sectorization of Walsh and Walsh Wavelet in CBIR”,;Kekre;International Journal on Computer Science and Engineering (IJCSE),2011

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Intelligent and Deep Learning Approach for Pothole Surveillance Smart Application;Procedia Computer Science;2024

2. Energy Consumption Prediction Using Machine Learning Algorithms;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14

3. Adult Autism Screening and Prediction using Ensemble Approach;2023 IEEE Pune Section International Conference (PuneCon);2023-12-14

4. Survey of Color Feature Extraction Schemes in Content-Based Picture Recovery System;Computational Vision and Bio-Inspired Computing;2021

5. Essentiality for bridging the gap between low and semantic level features in image retrieval systems: an overview;Journal of Ambient Intelligence and Humanized Computing;2020-05-29