Results 31 to 40 of about 26,920 (307)

A Novel Semantics-Preserving Hashing for Fine-Grained Image Retrieval

IEEE Access, 2020
With the advent of the era of big data, the storage and retrieval of data have become a research hotspot. Hashing methods that transform high-dimensional data into compact binary codes have received increasing attention.
Han Sun, Yejia Fan, Jiaquan Shen, Ningzhong Liu, Dong Liang, Huiyu Zhou   +5 more
doaj   +1 more source

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension [PDF]

IEEE Transactions on Image Processing, 2017
In this paper, a novel unsupervised hashing algorithm, referred to as t-USMVH, and its extension to unsupervised deep hashing, referred to as t-UDH, are proposed to support large-scale video-to-video retrieval. To improve robustness of the unsupervised learning, the t-USMVH combines multiple types of feature representations and effectively fuses them ...
Yanbin Hao, Tingting Mu, John Y. Goulermas, Jianguo Jiang, Richang Hong, Meng Wang   +5 more
openaire   +5 more sources

Deep Ordinal Hashing With Spatial Attention [PDF]

IEEE Transactions on Image Processing, 2019
Hashing has attracted increasing research attentions in recent years due to its high efficiency of computation and storage in image retrieval. Recent works have demonstrated the superiority of simultaneous feature representations and hash functions learning with deep neural networks.
Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang   +5 more
openaire   +3 more sources

IPDH: An Improved Pairwise-Based Deep Hashing Method for Large-Scale Image Retrieval

IEEE Access, 2020
Hashing technique has been extensively utilized in approximate nearest neighbor (ANN) search for large-scale image retrieval by virtue of its storage simplicity and computational efficiency. Recently, many researches show that hashing methods based.
Wei Yao, Feifei Lee, Lu Chen, Chaowei Lin, Shuai Yang, Hanqing Chen, Qiu Chen   +6 more
doaj   +1 more source

Ranking-Based Deep Hashing Network for Image Retrieval

IEEE Access, 2022
In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang, Huaijing Qu, Ming Xie, Jia Xu, Jiwei Wang, Yanan Wei   +5 more
doaj   +1 more source

Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning [PDF]

IEEE Transactions on Knowledge and Data Engineering, 2022
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing methods, deep cross-modal hashing methods can achieve a more satisfactory performance by integrating feature learning and hash codes optimizing into a same framework ...
Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei, Heyan Huang   +6 more
openaire   +2 more sources

Unsupervised Deep Hashing for Large-scale Visual Search [PDF]

, 2016
Learning based hashing plays a pivotal role in large-scale visual search. However, most existing hashing algorithms tend to learn shallow models that do not seek representative binary codes.
Feng, Xiaoyi, Hadid, Abdenour, Peng, Jinye, Xia, Zhaoqiang   +3 more
core   +2 more sources

Semi-Paired Asymmetric Deep Cross-Modal Hashing Learning

IEEE Access, 2020
Hashing has been effectively applied in large-scale multimedia retrieval tasks due to the characteristics of fast calculation speed and low storage cost. However, most existing cross-view hashing methods require well paired views, where one sample in one
Yi Wang, Xiaobo Shen, Zhenmin Tang, Tao Zhang, Jianyong Lv   +4 more
doaj   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval

Applied Computational Intelligence and Soft Computing, 2017
Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency.
Lijuan Duan, Chongyang Zhao, Jun Miao, Yuanhua Qiao, Xing Su   +4 more
doaj   +1 more source