Results 31 to 40 of about 11,867,254 (282)

Annotating historical archives of images [PDF]

open access: yesProceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries, 2008
Recent programs like the Million Book Project and Google Print Library Project have archived several million books in digital format, and within a few years a significant fraction of world’s books will be online. While the majority of the data will naturally be text, there will also be tens of millions of pages of images. Many of these images will defy
Xiaoyue Wang 0004   +3 more
openaire   +3 more sources

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

Image Annotation with Adobe Photoshop [PDF]

open access: yesJournal of Digital Imaging, 2002
The authors relate the basic steps used to annotate grayscale cross sectional images with keyboard characters, arrowheads, and arrows using Adobe Photoshop 6.0 and 7.0.
Ronald D. Caruso, Gregory C. Postel
openaire   +3 more sources

A game-based approach towards human augmented image annotation. [PDF]

open access: yes, 2011
PhDImage annotation is a difficult task to achieve in an automated way. In this thesis, a human-augmented approach to tackle this problem is discussed and suitable strategies are derived to solve it.
Seneviratne, Attgalage Lasantha Gunathilaka
core   +4 more sources

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

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

Image Auto-annotation using a Statistical Model with Salient Regions

open access: yes, 2006
Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can be meaningful to avoid a segmentation stage. In this paper, we propose a new
Hare, Jonathon S.   +5 more
core   +2 more sources

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

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