Locality‐sensitive hashing for region‐based large‐scale image indexing-Reference-Cited by-同舟云学术

Locality‐sensitive hashing for region‐based large‐scale image indexing

Published:2015-09 Issue:9 Volume:9 Page:804-810
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Gallas Abir¹,Barhoumi Walid¹,Kacem Neila¹,Zagrouba Ezzeddine¹

Affiliation:

1. Research Team on Intelligent Systems in Imaging and Artificial Vision (SIIVA), RIADI LaboratoryManouba UniversityISI, 2 Rue Abou Rayhane Bayrouni2080ArianaTunisia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2014.0910

Reference28 articles.

1. A survey of content-based image retrieval with high-level semantics

2. Features for image retrieval: an experimental comparison

3. Dynamic two-stage image retrieval from large multimedia databases

4. Efficiently searching for similar images

5. Multimedia search and retrieval using multimodal annotation propagation and indexing techniques;Lazaridis M.;Signal Process.: Image Commun.,2013

Cited by 5 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. Breast Cancer Diagnosis With Mammography;Research Anthology on Medical Informatics in Breast and Cervical Cancer;2022-07-01

2. Breast Cancer Diagnosis With Mammography;Biomedical Computing for Breast Cancer Detection and Diagnosis;2021

3. Quantifying object similarity: Applying locality sensitive hashing for comparing material culture;Journal of Archaeological Science;2020-11

4. Fast image similarity search by distributed locality sensitive hashing;Pattern Recognition Letters;2019-12

5. A novel slant transform-based image feature extract algorithm;International Journal of Embedded Systems;2017