[HTML][HTML] A survey of video surveillance systems in smart city
Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
[HTML][HTML] Detection of shoplifting on video using a hybrid network
L Kirichenko, T Radivilova, B Sydorenko, S Yakovlev - Computation, 2022 - mdpi.com
Shoplifting is a major problem for shop owners and many other parties, including the police.
Video surveillance generates huge amounts of information that staff cannot process in real …
Video surveillance generates huge amounts of information that staff cannot process in real …
Sports Video Classification Framework Using Enhanced Threshold Based Keyframe Selection Algorithm and Customized CNN on UCF101 and Sports1‐M Dataset
The computer vision community has taken a keen interest in recent developments in activity
recognition and classification in sports videos. Advancements in sports have a broadened …
recognition and classification in sports videos. Advancements in sports have a broadened …
Review of deep learning approaches for interleaved photoacoustic and ultrasound (PAUS) imaging
MW Kim, I Pelivanov… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Photoacoustic (PA) imaging provides optical contrast at relatively large depths within the
human body, compared to other optical methods, at ultrasound (US) spatial resolution. By …
human body, compared to other optical methods, at ultrasound (US) spatial resolution. By …
Application of video data classification models using convolutional neural networks
I Tvoroshenko, V Pomazan, V Gorokhovatskyi… - 2023 - openarchive.nure.ua
Анотація This paper explores the classification of video data with convolutional neural
networks. It discusses how convolutional neural network architecture can do this task with …
networks. It discusses how convolutional neural network architecture can do this task with …
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition
DRT Hax, P Penava, S Krodel, L Razova… - IEEE …, 2024 - ieeexplore.ieee.org
Hand gestures are a form of natural communication used in human-computer interaction,
however, when gestures are video-based, extraction of features for classification is complex …
however, when gestures are video-based, extraction of features for classification is complex …
Angle Diagnosis of Blast Furnace Chute Through Deep Learning of Temporal Images
Q He, H Liang, B Yan, H Guo - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Blast furnace (BF) ironmaking requires flexible and precise burden distribution. As a critical
distributing unit, the angle diagnosis of the BF chute is essential for operation under severe …
distributing unit, the angle diagnosis of the BF chute is essential for operation under severe …
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams
Recent applications of machine learning in metal additive manufacturing (MAM) have shown
great potential to resolve critical barriers to MAM's widespread adoption. Recent research on …
great potential to resolve critical barriers to MAM's widespread adoption. Recent research on …
A multimodal sentiment dataset for video recommendation
Recently, multimodal sentiment analysis has seen remarkable advance and a lot of datasets
are proposed for its development. In general, current multimodal sentiment analysis datasets …
are proposed for its development. In general, current multimodal sentiment analysis datasets …
An Efficient Algorithm for Fake Video Detection
N Nibras, S Fahim, S Sakib, SU Rashid… - 2024 6th International …, 2024 - ieeexplore.ieee.org
In recent times, the circulation of fake videos has caused significant uproar among the
general people. Fake videos have caused considerable inconvenience in the daily lifestyle …
general people. Fake videos have caused considerable inconvenience in the daily lifestyle …