Results 21 to 30 of about 129,731 (262)

An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation

open access: yesIEEE Access, 2020
Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song   +6 more
doaj   +1 more source

Trigraph Regularized Collective Matrix Tri-Factorization Framework on Multiview Features for Multilabel Image Annotation

open access: yesIEEE Access, 2019
Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because traditional manual image annotation
Junyi Zhang   +3 more
doaj   +1 more source

Analysis of Underwater Image Processing Methods for Annotation in Deep Learning Based Fish Detection

open access: yesIEEE Access, 2022
With the advent of deep-learning (DL) techniques, image annotation has become a fundamental part of the research process. In the case of underwater image annotation, the human in charge of the task is faced whith the inherent quality problems of this ...
Jose-Luis Lisani   +5 more
doaj   +1 more source

Automatic Image Annotation Based on Co-Training

open access: yesJournal 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

Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing

open access: yesMicromachines, 2023
In the past few years, object detection has attracted a lot of attention in the context of human–robot collaboration and Industry 5.0 due to enormous quality improvements in deep learning technologies.
Manuela Geiß   +4 more
doaj   +1 more source

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

open access: yesSensors, 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   +4 more
doaj   +1 more source

Non-Structured Materials Science Data Sharing Based on Semantic Annotation

open access: yesData 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   +4 more
doaj   +1 more source

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

open access: yesIEEE 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   +10 more
doaj   +1 more source

Generation and Annotation of Simulation-Real Ship Images for Convolutional Neural Networks Training and Testing

open access: yesApplied Sciences, 2021
Large amounts of high-quality image data are the basis and premise of the high accuracy detection of objects in the field of convolutional neural networks (CNN).
Ji’an You   +3 more
doaj   +1 more source

Semantic Annotation of Images on Flickr [PDF]

open access: yes, 2011
In this paper we introduce an application that allows its users to have an explicit control on the meaning of tags they use when uploading photos on Flickr. In fact, this application provides to the users an improved interface with which they can add concepts to photos instead of simple free-text tags.
Pierre Andrews   +3 more
openaire   +1 more source

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