Results 31 to 40 of about 11,867,254 (282)
Annotating historical archives of images [PDF]
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
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An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
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]
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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A game-based approach towards human augmented image annotation. [PDF]
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
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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
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Analysis of Underwater Image Processing Methods for Annotation in Deep Learning Based Fish Detection
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
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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
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Image Auto-annotation using a Statistical Model with Salient Regions
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
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Automatic Image Annotation Based on Co-Training
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
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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