Recent developments of content-based image retrieval (CBIR)

X Li, J Yang, J Ma - Neurocomputing, 2021 - Elsevier
With the development of Internet technology and the popularity of digital devices, Content-
Based Image Retrieval (CBIR) has been quickly developed and applied in various fields …

Large scale category-structured image retrieval for object identification through supervised learning of CNN and SURF-based matching

X Li, J Yang, J Ma - IEEE Access, 2020 - ieeexplore.ieee.org
In the modern era of Internet, mobile and digital information technology, image retrieval for
object identification, just as wine label retrieval from a wine bottle image, has become an …

Making paper labels smart for augmented wine recognition

A Angeli, L Stacchio, L Donatiello, A Giacchè… - The Visual …, 2024 - Springer
An invisible layer of knowledge is progressively growing with the emergence of situated
visualizations and reality-based information retrieval systems. In essence, digital content will …

Distributed search and fusion for wine label image retrieval

X Li, J Ma - PeerJ Computer Science, 2022 - peerj.com
With the popularity of wine culture and the development of artificial intelligence (AI)
technology, wine label image retrieval becomes more and more important. Taking an wine …

Single-image driven 3d viewpoint training data augmentation for effective wine label recognition

YC Huang, HY Chen, CJ Hung, JH Chuang… - arxiv preprint arxiv …, 2024 - arxiv.org
Confronting the critical challenge of insufficient training data in the field of complex image
recognition, this paper introduces a novel 3D viewpoint augmentation technique specifically …

Single-Image Driven 3D Viewpoint Training Data Augmentation for Effective Label Recognition

YC Huang, HY Chen, CJ Hung, JH Chuang… - … Conference on Pattern …, 2025 - Springer
Confronting the critical challenge of insufficient training data in the field of complex image
recognition, this paper introduces a novel 3D viewpoint transformation technique initially …

Evaluating Transfer Learning Models on Synthetic Data for Beverage Label Image Retrieval: A Comparative Study

A Brask - 2022 - diva-portal.org
Abstract Information retrieval is a research area that has seen improvements with the
development of deep learning and artificial neural networks. The vast amount of image data …

基于视点变换的酒标图像数据增**研究

**晓晴, 张孝昌, 才子嘉, 马尽文 - 信号处理, 2022 - signal.ejournal.org.cn
随着人民生活水**的提高和红酒文化的发展, 建立一个高效的自动化酒标图像检索系统变得越来
越重要. 然而, 实际的酒标图像数据集普遍存在着类别样本量的不均衡, 许多类样本量偏少的现象 …