Visualization and visual analytics approaches for image and video datasets: A survey

S Afzal, S Ghani, MM Hittawe, SF Rashid… - ACM Transactions on …, 2023 - dl.acm.org
Image and video data analysis has become an increasingly important research area with
applications in different domains such as security surveillance, healthcare, augmented and …

Real-time data visualization to enhance situational awareness of COVID pandemic

S Sharma, ST Bodempudi… - … on Computational Science …, 2020 - ieeexplore.ieee.org
Real-time data visualization can enhance decision making and empower teams with human-
centric situational awareness insights. Decision making relies on data which comes in …

ONEWO: A Dataset of Anomaly and Object Detection for Community Surveillance

C Zhou, Q Lv, Y Guo, X Ding, C Wei… - … Computing and Next …, 2023 - ieeexplore.ieee.org
In the era of smart cities, the role of surveillance systems in ensuring community safety and
environmental sustainability has become increasingly significant. Traditional surveillance …

Visual analytics in urban computing: An overview

Y Zheng, W Wu, Y Chen, H Qu… - IEEE Transactions on Big …, 2016 - ieeexplore.ieee.org
Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

[引用][C] SMART: Social media analytics and reporting toolkit

J Zhang, J Chae, C Surakitbanharn, DS Ebert - The IEEE Workshop on …, 2007 - IEEE

Mobile analytics for emergency response and training

SY Kim, R Maciejewski, K Ostmo… - Information …, 2008 - journals.sagepub.com
During emergency response events, situational awareness is critical in effectively managing
and safe-guarding civilians and in-field personnel. To better support both command center …

Data, Algorithms, and Framework for Automated Analytics of Surveillance Camera Networks

R Collins, K Osterdahl, A Shringi, K Corona, E Swears… - 2018 - apps.dtic.mil
Recent advances in areas such as video classification, captioning, and activity detection
have significantly expanded the scope of automated analytics that can be performed on …

[HTML][HTML] Deep learning methods to leverage traffic monitoring cameras for pedestrian data applications

W Xu, N Ruiz-Juri, R Huang, J Duthie, JL Meyer… - 2019 - rosap.ntl.bts.gov
Transportation agencies often own extensive networks of monocular traffic cameras, which
are typically used for traffic monitoring by officials and experts. While the information …

Unravelling the human perspective and considerations for urban data visualization

S Goodwin, S Meier, L Bartram… - 2021 IEEE 14th …, 2021 - ieeexplore.ieee.org
Effective use of data is an essential asset to modern cities. Visualization as a tool for
analysis, exploration, and communication has become a driving force in the task of …

SurVizor: visualizing and understanding the key content of surveillance videos

G Sun, T Li, R Liang - Journal of Visualization, 2022 - Springer
With the rapid development of society, video surveillance has progressively expanded into
different areas of life, such as transportation, security inspection, banks. There are a large …