Effective Image Retrieval System Using Dot-Diffused Block Truncation Coding Features-Reference-Cited by-同舟云学术

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Effective Image Retrieval System Using Dot-Diffused Block Truncation Coding Features

Published:2015-09 Issue:9 Volume:17 Page:1576-1590
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Guo Jing-Ming,Prasetyo Heri,Wang Nai-Jian

Funder

Ministry of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/7182813/07131582.pdf?arnumber=7131582

Cited by 39 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

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2. Content based Image Retrieval using Fine-tuned Deep Features with Transfer Learning;2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE);2023-08-02

3. Image Retrieval Using Fusion of Sauvola and Thepade’s Sorted Block Truncation Coding-Based Color Features;Pertanika Journal of Science and Technology;2023-07-13

4. Learning Deep Co-Occurrence Features;IEEE Transactions on Circuits and Systems for Video Technology;2023-04

5. Shuffled-Xception-DarkNet-53: A content-based image retrieval model based on deep learning algorithm;Computers and Electrical Engineering;2023-04

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