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Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotation [PDF]
Frontiers in Big Data, 2023 Color similarity has been a key feature for content-based image retrieval by contemporary search engines, such as Google. In this study, we compare the visual content information of images, obtained through color histograms, with their corresponding ...
Stamatios Giannoulakis +2 more
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Visual attention mechanism and support vector machine based automatic image annotation. [PDF]
PLoS ONE, 2018 Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords.
Zhangang Hao, Hongwei Ge, Long Wang
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Automatic image annotation for fluorescent cell nuclei segmentation. [PDF]
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 Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges
IEEE Access, 2021 Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as texts are automatic image annotation (AIA ...
Myasar Mundher Adnan +5 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 Annotation of Change Detection Images [PDF]
Sensors, 2021 Earth observation satellites have been capturing a variety of data about our planet for several decades, making many environmental applications possible such as change detection. Recently, deep learning methods have been proposed for urban change detection.
Neptune, Nathalie, Mothe, Josiane
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Automatic Annotation and Retrieval of Images [PDF]
World Wide Web, 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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IEEE Access, 2022 Every day, websites and personal archives generate an increasing number of photographs. The extent of these archives is unfathomable. The ease of usage of these enormous digital image collections contributes to their popularity. However, not all of these
Myasar Mundher Adnan +5 more
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Deep Convolutional Neural Network with KNN Regression for Automatic Image Annotation
Applied Sciences, 2021 Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for handcrafted features and manual approaches of linking concepts to ...
Ramla Bensaci +3 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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