Seagull optimization-based near-duplicate image detection in large image databases-Reference-Cited by-同舟云学术

Seagull optimization-based near-duplicate image detection in large image databases

Published:2023-03-29 Issue:7 Volume:71 Page:647-659
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Sundaram Srinidhi¹,Kamalakkannan S.²,Jayaraman Sasikala¹

Affiliation:

1. Department of Information Technology, Annamalai University, Tamil Nadu, India

2. Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2190944

Reference33 articles.

1. Indexing near-duplicate images in web search using minhash algorithm

2. Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems

3. A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm

4. Hybrid seagull and thermal exchange optimization algorithm-based NLOS nodes detection technique for enhancing reliability under data dissemination in VANETs

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