[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 …

[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 …

Sports Video Classification Framework Using Enhanced Threshold Based Keyframe Selection Algorithm and Customized CNN on UCF101 and Sports1‐M Dataset

M Ramesh, K Mahesh - Computational Intelligence and …, 2022 - Wiley Online Library
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 …

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 …

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 …

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 …

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 …

Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams

L Cherif, M Safdar, G Lamouche, P Wanjara, P Paul… - IFAC-PapersOnLine, 2023 - Elsevier
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 …

A multimodal sentiment dataset for video recommendation

H Tang, H Liu, X Xiao, H Wu - arXiv preprint arXiv:2109.08333, 2021 - arxiv.org
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 …

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 …