Applications and challenges in video surveillance via drone: A brief survey
Our society is moving quickly towards smart homes and smart cities, requiring more and
more deployment of Internet of Things (IoT) devices. To achieve smart urbanization …
more deployment of Internet of Things (IoT) devices. To achieve smart urbanization …
A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
Reconstructive sequence-graph network for video summarization
Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video
summarization. Current approaches mainly devote to modeling the video as a frame …
summarization. Current approaches mainly devote to modeling the video as a frame …
Deep multi-scale pyramidal features network for supervised video summarization
Video data are witnessing exponential growth, and extracting summarized information is
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
Video summarization using deep learning techniques: a detailed analysis and investigation
One of the critical multimedia analysis problems in today's digital world is video
summarization (VS). Many VS methods have been suggested based on deep learning …
summarization (VS). Many VS methods have been suggested based on deep learning …
Industrial internet-of-things security enhanced with deep learning approaches for smart cities
N Magaia, R Fonseca, K Muhammad… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The significant evolution of the Internet of Things (IoT) enabled the development of
numerous devices able to improve many aspects in various fields in the industry for smart …
numerous devices able to improve many aspects in various fields in the industry for smart …
Learning multiscale hierarchical attention for video summarization
In this paper, we propose a multiscale hierarchical attention approach for supervised video
summarization. Different from most existing supervised methods which employ bidirectional …
summarization. Different from most existing supervised methods which employ bidirectional …
[HTML][HTML] Deep neural networks in the cloud: Review, applications, challenges and research directions
Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …
in a wide range of important real-world applications. DNNs consist of a huge number of …
A survey on multi-modal summarization
The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …
share their opinions over an abundance of platforms. These platforms have a provision for …
Relational reasoning over spatial-temporal graphs for video summarization
In this paper, we propose a dynamic graph modeling approach to learn spatial-temporal
representations for video summarization. Most existing video summarization methods extract …
representations for video summarization. Most existing video summarization methods extract …