An intelligent content-based image retrieval methodology using transfer learning for digital IP protection-Reference-Cited by-同舟云学术

An intelligent content-based image retrieval methodology using transfer learning for digital IP protection

Published:2021-04 Issue: Volume:48 Page:101291
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Trappey Amy J.C.,Trappey Charles V.,Shih Samuel

Funder

Republic of China Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference57 articles.

1. Cinnamon buns, marching ducks and cherry-scented racecar exhaust: Protecting nontraditional trademarks;Gilson;Trademark Rep.,2005

2. Getting real with nontraditional trademarks: what's next after red oven knobs, the sound of burning methamphetamine, and goats on a grass roof;LaLonde;Trademark Rep.,2011

3. W.I.P. Organization, World Intellectual Property Indicators 2019, World Intellectual Property Organization, 2019.

4. Intelligent trademark similarity analysis of image, spelling, and phonetic features using machine learning methodologies;Trappey;Adv. Eng. Inf.,2020

5. P.A. Kinney & Lange, Intellectual Property Law for Business Lawyers, 2019.

Cited by 18 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. A universal traffic sign detection system using a novel self-training neural network modeling approach;Advanced Engineering Informatics;2024-10

2. DarwinGSE: Towards better image retrieval systems for intellectual property datasets;PLOS ONE;2024-07-01

3. Proactive Privacy and Intellectual Property Protection of Multimedia Retrieval Models in Edge Intelligence;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

4. Brand Logo Image Classification Based on Deep Convolutional Generative Adversarial Network;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

5. Indicative Vision Transformer for end-to-end zero-shot sketch-based image retrieval;Advanced Engineering Informatics;2024-04