Results 21 to 30 of about 317,725 (334)
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 +4 more
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Diverse Image Annotation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 In this work we study the task of image annotation, of which the goal is to describe an image using a few tags. Instead of predicting the full list of tags, here we target for providing a short list of tags under a limited number (e.g., 3), to cover as much information as possible of the image. The tags in such a short list should be representative and
Baoyuan Wu +3 more
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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.
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Annotating historical archives of images [PDF]
Proceedings 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 +3 more
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IEEE 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
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Analysis of Underwater Image Processing Methods for Annotation in Deep Learning Based Fish Detection
IEEE 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
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Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal +3 more
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Cross-Domain Web Image Annotation [PDF]
2009 IEEE International Conference on Data Mining Workshops, 2009 In recent years, cross-domain learning algorithms have attracted much attention to solve labeled data insufficient problem. However, these cross-domain learning algorithms cannot be applied for subspace learning, which plays a key role in multimedia, e. g., web image annotation. This paper envisions the cross-domain discriminative subspace learning and
Tao, D, Si, S, Chan, KP
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Applied 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
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Introducing Geometry in Active Learning for Image Segmentation [PDF]
, 2015 We propose an Active Learning approach to training a segmentation classifier that exploits geometric priors to streamline the annotation process in 3D image volumes.
Fua, Pascal +2 more
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