A comprehensive survey of multi-view video summarization
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …
acquired from single or multi-view surveillance camera networks. This massive amount of …
A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
Cloud-assisted multiview video summarization using CNN and bidirectional LSTM
The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …
various challenges in exploring these videos for many applications, such as video …
Gesture recognition based on multi‐modal feature weight
H Duan, Y Sun, W Cheng, D Jiang… - Concurrency and …, 2021 - Wiley Online Library
With the continuous development of sensor technology, the acquisition cost of RGB‐D
images is getting lower and lower, and gesture recognition based on depth images and Red …
images is getting lower and lower, and gesture recognition based on depth images and Red …
DeepReS: A deep learning-based video summarization strategy for resource-constrained industrial surveillance scenarios
The exponential growth in the production of video contents in different industries causes an
urgent need for effective video summarization (VS) techniques, in order to get an optimal …
urgent need for effective video summarization (VS) techniques, in order to get an optimal …
Intelligent embedded vision for summarization of multiview videos in IIoT
Nowadays, video sensors are used on a large scale for various applications, including
security monitoring and smart transportation. However, the limited communication …
security monitoring and smart transportation. However, the limited communication …
Mobile crowd sensing–taxonomy, applications, challenges, and solutions
Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …
suitability for enormous range of new types of context-aware applications and services. This …
Efficient image recognition and retrieval on IoT-assisted energy-constrained platforms from big data repositories
The advanced computational capabilities of many resource constrained devices, such as
smartphones have enabled various research areas including image retrieval from big data …
smartphones have enabled various research areas including image retrieval from big data …
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
N Rahim, S El-Sappagh, H Rizk, OA El-serafy… - Applied Soft …, 2024 - Elsevier
The fusion of multimodal longitudinal data is difficult but crucial for enhancing the accuracy
of deep learning models for disease identification and helps provide tailored and patient …
of deep learning models for disease identification and helps provide tailored and patient …