Results 31 to 40 of about 317,725 (334)
Image Annotation with Adobe Photoshop [PDF]
Journal 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
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Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions [PDF]
, 2014 Structured-output learning is a challenging problem; particularly so because of the difficulty in obtaining large datasets of fully labelled instances for training.
A. Delong +10 more
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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
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Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing
Micromachines, 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
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Image annotation with semi-supervised clustering [PDF]
2009 24th International Symposium on Computer and Information Sciences, 2008 Methods developed for image annotation usually make use of region clustering algorithms. Visual codebooks are generated from the region clusters of low level features. These codebooks are then, matched with the words of the text document related to the image, in various ways.
Sayar, Ahmet, Vural, Fatos T. Yarman
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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 +4 more
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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 +4 more
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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 +10 more
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A framework for evaluating automatic image annotation algorithms [PDF]
, 2010 Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated using either different descriptors, collections or parts of collections ...
A.W.M. Smeulders +12 more
core +2 more sources
Modeling, Classifying and Annotating Weakly Annotated Images Using Bayesian Network [PDF]
2009 10th International Conference on Document Analysis and Recognition, 2009 We propose a probabilistic graphical model to represent weakly annotated images. This model is used to classify images and automatically extend existing annotations to new images by taking into account semantic relations between keywords. The proposed method has been evaluated in classification and automatic annotation of images.
Barrat, Sabine, Tabbone, Salvatore
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