Results 11 to 20 of about 107,245 (331)
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 via label transfer in the semantic space [PDF]
Pattern Recognition, 2017 Tiberio Uricchio +3 more
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Automatic image annotation and object detection [PDF]
, 2008 We live in the midst of the information era, during which organising and indexing information more effectively is a matter of essential importance. With the fast development of digital imagery, how to search images - a rich form of information - more efficiently by their content has become one of the biggest challenges.
Jiayu Tang
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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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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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Fuzzy Neighbor Voting for Automatic Image Annotation [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image ...
V. Maihami, F. Yaghmaee
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ENCAPSULATION OF IMAGE METADATA FOR EASE OF RETRIEVAL AND MOBILITY [PDF]
Applied Computer Science, 2019 Increasing proliferation of images due to multimedia capabilities of hand-held devices has resulted in loss of source information resulting from inherent mobility.
Nancy WOODS, Charles ROBERT
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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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