Tqp: An efficient video quality assessment framework for adaptive bitrate video streaming

MA Aslam, X Wei, N Ahmed, G Saleem… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing popularity of video streaming services and the widespread accessibility of
high-speed internet underscore the importance of delivering cost-effective and seamless …

QualityNet: A multi-stream fusion framework with spatial and channel attention for blind image quality assessment

MA Aslam, X Wei, H Khalid, N Ahmed, Z Shuangtong… - Scientific Reports, 2024 - nature.com
This study introduces a novel Blind Image Quality Assessment (BIQA) approach leveraging
a multi-stream spatial and channel attention model. Our method addresses challenges …

Transfer learning with inception V4 for behavioral anomaly detection in CCTV surveillance

K Merit, M Beladgham - Studies in Engineering and …, 2024 - ojs.studiespublicacoes.com.br
Heightened security concerns and better affordability have driven the proliferation of video
surveillance systems. Develo** advanced CCTV cameras capable of real-time analysis of …

Modular Design of Substation Video Monitoring Equipment

X Luo, J Zhou, K Xu - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
In order to solve the power special video equipment can not realize the modular
replacement of wearing parts caused by a large number of waste problems, research on the …

Anomaly Detection In Surveillance System Using Machine Learning Techniques-A Review

K Rohit Kumar, N Gandhewar - Nisarg, Anomaly Detection In …, 2022 - papers.ssrn.com
Real-time surveillance systems are in high demand because of the expanding needs of
cities and industries. An AI-based anomaly identification system only handles some of the …