Results 21 to 30 of about 70,451 (127)
Automatic Annotation and Retrieval of Images [PDF]
, 2002 Although a variety of techniques have been developed for content-based image retrieval (CBIR), automatic image retrieval by semantics still remains a challenging problem. We propose a novel approach for semantics-based image annotation and retrieval. Our approach is based on the monotonic tree model.
Song, Yuqing, Wang, Wei, Zhang, Aidong
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Automatic human face detection for content-based image annotation [PDF]
, 2008 In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Jiang, M, Sadka, A H, Zhou, H
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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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Image Retrieval: Modelling Keywords via Low-level Features
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 With the advent of cheap digital recording and storage devices and the rapidly increasing popularity of online social networks that make extended use of visual information, like Facebook and Instagram, image retrieval regained great attention among the ...
Zenonas Theodosiou
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Automatic image annotation for fluorescent cell nuclei segmentation.
PLoS ONE, 2021 Dataset annotation is a time and labor-intensive task and an integral requirement for training and testing deep learning models. The segmentation of images in life science microscopy requires annotated image datasets for object detection tasks such as ...
Fabian Englbrecht +2 more
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Automatic Multilevel Medical Image Annotation and Retrieval [PDF]
Journal of Digital Imaging, 2007 Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. To address first issue, multilevel features are extracted to construct
Mueen, A., Zainuddin, R., Baba, M.S.
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Journal of Pathology Informatics, 2011 Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem.
Angel Cruz-Roa +3 more
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Frontiers in Marine Science, 2021 Marine imaging has evolved from small, narrowly focussed applications to large-scale applications covering areas of several hundred square kilometers or time series covering observation periods of several months.
Martin Zurowietz, Tim W. Nattkemper
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A Correlation Approach for Automatic Image Annotation [PDF]
, 2006 The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learning for the automatic annotation of query images. We represent the images using scale invariant transformation descriptors in order to account for similar objects appearing at ...
Hardoon, D. +3 more
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A Review of Methods for The Image Automatic Annotation
Journal of Physics: Conference Series, 2021 Abstract Nowadays, image annotation has attracted extensive attention due to the explosive growth of image data. Large amount of researches on AIA have been proposed, mainly including classification-based methods and probabilistic modeling methods.
Mohd Shafry Mohd Rahim +4 more
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