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A survey on automatic image annotation
Applied Intelligence, 2020Automatic image annotation is a crucial area in computer vision, which plays a significant role in image retrieval, image description, and so on. Along with the internet technique developing, there are numerous images posted on the web, resulting in the fact that it is a challenge to annotate images only by humans.
Yilun Chen +3 more
semanticscholar +2 more sources
End-to-End Automatic Image Annotation Based on Deep CNN and Multi-Label Data Augmentation
IEEE Transactions on Multimedia, 2019Automatic image annotation is a key step in image retrieval and image understanding. In this paper, we present an end-to-end automatic image annotation method based on a deep convolutional neural network (CNN) and multi-label data augmentation. Different
Xiao Ke, Yuzhen Niu
exaly +2 more sources
A survey and analysis on automatic image annotation
Pattern Recognition, 2018In recent years, image annotation has attracted extensive attention due to the explosive growth of image data. With the capability of describing images at the semantic level, image annotation has many applications not only in image analysis and ...
Qimin Cheng, Peng Fu
exaly +2 more sources
Water Research, 2023
Quorum sensing (QS) has attracted great attention due to its important role in the bacterial interactions and its relevance to water management. With the development of high-throughput sequencing technology, a specific database for QS-related sequence ...
Chunxiao Dai +6 more
semanticscholar +1 more source
Quorum sensing (QS) has attracted great attention due to its important role in the bacterial interactions and its relevance to water management. With the development of high-throughput sequencing technology, a specific database for QS-related sequence ...
Chunxiao Dai +6 more
semanticscholar +1 more source
Automatic Annotation Algorithm of Medical Radiological Images using Convolutional Neural Network
Pattern Recognition Letters, 2021In order to address the problems of time-consuming, low accuracy and poor convergence effect of traditional image automatic annotation algorithm, an Automatic annotation algorithm of medical radiological images based on convolution neural network is ...
Xiaofeng Li, Yanwei Wang, Yingjie Cai
semanticscholar +1 more source
2020 IEEE Frontiers in Education Conference (FIE), 2020
This Research to Practice Full Paper presents an application (AutoNotes) that improves the students’ learning outcomes by using natural language processing techniques (NLP) such as speech recognition and keywords extraction. AutoNotes is an android application that converts the speech of the instructor to text in real time during the lecture and then ...
Nada Nasser +3 more
openaire +1 more source
This Research to Practice Full Paper presents an application (AutoNotes) that improves the students’ learning outcomes by using natural language processing techniques (NLP) such as speech recognition and keywords extraction. AutoNotes is an android application that converts the speech of the instructor to text in real time during the lecture and then ...
Nada Nasser +3 more
openaire +1 more source