Results 31 to 40 of about 70,451 (127)

Label Correlation Guided Deep Multi-View Image Annotation

IEEE Access, 2019
Automatic image annotation is an important technique which has been widely applied in many fields such as social network image analysis and retrieval, face recognition and so on.
Zhe Xue, Junping Du, Min Zuo, Guorong Li, Qingming Huang   +4 more
doaj   +1 more source

An adaptive graph model for automatic image annotation [PDF]

, 2006
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method based on manifold ranking learning, in which the visual and textual ...
Hanqing Lu, Jing Liu, Mingjing Li, Qingshan Liu, Wei-Ying Ma   +4 more
core   +1 more source

Learning Distance Functions for Automatic Annotation of Images [PDF]

, 2008
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (category tagging). Additionaly, a new similarity function between an image and an object class is proposed.
Krapac, Josip, Jurie, Frédéric
openaire   +4 more sources

Automatic Image Annotation Based on Multi-Auxiliary Information

IEEE Access, 2017
This paper introduces an automatic image annotation framework based on multi-auxiliary information which aims at improving the annotation performance. We propose three novel ideas in the framework of annotation: 1) multi-information extraction: besides ...
Pengyu Zhang, Zhihua Wei, Yunyi Li, Cairong Zhao   +3 more
doaj   +1 more source

Annotation-efficient deep learning for automatic medical image segmentation

Nature Communications, 2021
Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications.
Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng   +14 more
doaj   +1 more source

Automatic Annotation Method of Gangue Data Based on Digital Image Processing

Tehnički Vjesnik
An automatic annotation method of coal gangue image data based on X-ray acquisition is proposed. Firstly, the manually screened coal and gangue are sent to the X-ray acquisition device for image sampling. Secondly, according to the characteristics of the
Junpeng Zhou, Yongcun Guo, Shuang Wang, Dongyang Zhao, Pengyu Wang, Gang Cheng   +5 more
doaj   +1 more source

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]

PLoS ONE, 2018
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain.
Obioma Pelka, Felix Nensa, Christoph M Friedrich   +2 more
doaj   +1 more source

DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning

IEEE Access, 2022
Automatic image annotation (AIA) has been adopted in different applications such as image retrieval and classification. Deep Learning is used in AIA to extract image features and then convert these features into text descriptions and labels.
Abeer Alshehri, Mounira Taileb, Reem Alotaibi   +2 more
doaj   +1 more source

ASALTAG : Automatic Image Annotation Through Salient Object Detection and Improved k-Nearest Neighbor Feature Matching

Journal of Electrical, Electronics and Informatics, 2018
Image databases are becoming very large nowadays, and there is an increasing need for automatic image annotation, for assiting on finding the desired specific image.
Theresia Hendrawati, Duman Care Khrisne
doaj   +1 more source

DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models

Remote Sensing
Instance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious.
Huadong Li, Ying Wei, Han Peng, Wei Zhang   +3 more
doaj   +1 more source