A comprehensive survey of multi-view video summarization

T Hussain, K Muhammad, W Ding, J Lloret, SW Baik… - Pattern Recognition, 2021 - Elsevier
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 …

[HTML][HTML] Automatic videos analytics in tourism: A methodological review

J Zhu, M Cheng - Annals of Tourism Research, 2024 - Elsevier
While there has been a growing interest in adopting videos as a data source, the use of
video analytics, as a method, in gaining deep insights into tourism and hospitality theories …

MobileNet based apple leaf diseases identification

C Bi, J Wang, Y Duan, B Fu, JR Kang, Y Shi - Mobile Networks and …, 2022 - Springer
Alternaria leaf blotch, and rust are two common types of apple leaf diseases that severely
affect apple yield. A timely and effective detection of apple leaf diseases is crucial for …

Energy recovery strategy numerical simulation for dual axle drive pure electric vehicle based on motor loss model and big data calculation

H **ong, X Zhu, R Zhang - Complexity, 2018 - Wiley Online Library
Aiming at the braking energy feedback control in the optimal energy recovery of the two‐
motor dual‐axis drive electric vehicle (EV), the efficiency numerical simulation model based …

Video index point detection and extraction framework using custom YoloV4 Darknet object detection model

M Mahrishi, S Morwal, AW Muzaffar, S Bhatia… - IEEE …, 2021 - ieeexplore.ieee.org
The trend of learning from videos instead of documents has increased. There could be
hundreds and thousands of videos on a single topic, with varying degrees of context …

An energy matching method for battery electric vehicle and hydrogen fuel cell vehicle based on source energy consumption rate

H **ong, H Liu, R Zhang, L Yu, Z Zong… - International Journal of …, 2019 - Elsevier
The smart cities development requires reducing energy consumption and using as much
renewable energy as possible, so the widespread use of new energy vehicles is a very …

Chart decoder: Generating textual and numeric information from chart images automatically

W Dai, M Wang, Z Niu, J Zhang - Journal of Visual Languages & Computing, 2018 - Elsevier
Charts are commonly used as a graphical representation for visualizing numerical data in
digital documents. For many legacy charts or scientific charts, however, underlying data is …

Unsupervised video summarization via deep reinforcement learning with shot-level semantics

Y Yuan, J Zhang - IEEE Transactions on Circuits and Systems …, 2022 - ieeexplore.ieee.org
Video summarization is one of the critical techniques in video retrieval, video browsing, and
management. It is still a challenging research task due to user subjectivity, excessive …

Evacuation route recommendation using auto-encoder and Markov decision process

C Bi, G Pan, L Yang, CC Lin, M Hou, Y Huang - Applied Soft Computing, 2019 - Elsevier
Evacuation route recommendation plays an important role in emergency safety
management, especially for natural disaster. When refugees flee a disaster area, the most …

Deep learning approach for human action recognition using a time saliency map based on motion features considering camera movement and shot in video image …

A Alavigharahbagh, V Hajihashemi, JJM Machado… - Information, 2023 - mdpi.com
In this article, a hierarchical method for action recognition based on temporal and spatial
features is proposed. In current HAR methods, camera movement, sensor movement …