Results 41 to 50 of about 496,156 (331)

Adaptive Tag Selection for Image Annotation [PDF]

, 2014
Not all tags are relevant to an image, and the number of relevant tags is image-dependent. Although many methods have been proposed for image auto-annotation, the question of how to determine the number of tags to be selected per image remains open.
He, Xixi, Jin, Qin, Li, Xirong, Xu, Jieping, Yang, Gang   +4 more
core   +1 more source

Automatic Image Annotation Based on Co-Training

Journal of Algorithms & Computational Technology, 2014
Automatic image annotation is a critical and challenging problem in pattern recognition and image understanding areas. There are some problems in existing automatic image annotation areas.
Xiao Ke, Guolong Chen
doaj   +1 more source

Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection

Sensors, 2020
Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau   +4 more
doaj   +1 more source

Context-aware person identification in personal photo collections [PDF]

, 2009
Identifying the people in photos is an important need for users of photo management systems. We present MediAssist, one such system which facilitates browsing, searching and semi-automatic annotation of personal photos, using analysis of both image ...
O'Hare, Neil, Smeaton, Alan F.
core   +1 more source

Non-Structured Materials Science Data Sharing Based on Semantic Annotation

Data Science Journal, 2009
The explosion of non-structured materials science data makes it urgent for materials researchers to resolve the problem of how to effectively share this information. Materials science image data is an important class of non-structured data.
Changjun Hu, Chunping Ouyang, Jinbin Wu, Xiaoming Zhang, Chongchong Zhao   +4 more
doaj   +1 more source

Vgg Image Annotator

, 2018
Development and maintenance of VGG Image Annotator (VIA) is supported by EPSRC programme grant Seebibyte: Visual Search for the Era of Big Data (EP/M013774/1)
Ankush Gupta, Andrew Zisserman, Abhishek Dutta   +2 more
openaire   +2 more sources

A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and cycleGAN Algorithms

Remote Sensing, 2022
With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic segmentation.
Yongxiu Zhou, Honghui Wang, Ronghao Yang, Guangle Yao, Qiang Xu, Xiaojuan Zhang   +5 more
doaj   +1 more source

A New Framework to Reduce Doctor’s Workload for Medical Image Annotation

IEEE Access, 2019
Accurate annotation of the medical image is the crucial step for image artificial intelligence (AI) clinical application. However, annotating medical image will incur a lot of annotation efforts and expense due to its high complexity and needing ...
Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Zhanyu Wang, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan   +10 more
doaj   +1 more source

Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods

IEEE Access, 2021
Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li, Wei Li, Hongda Zhang, Xin He, Mingxiao Zheng, Haiyu Song   +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