Video restoration based on deep learning: a comprehensive survey

C Rota, M Buzzelli, S Bianco, R Schettini - Artificial Intelligence Review, 2023 - Springer
Video restoration concerns the recovery of a clean video sequence starting from its
degraded version. Different video restoration tasks exist, including denoising, deblurring …

NTIRE 2023 quality assessment of video enhancement challenge

X Liu, X Min, W Sun, Y Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …

No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion

D Varga - Sensors, 2022 - mdpi.com
With the constantly growing popularity of video-based services and applications, no-
reference video quality assessment (NR-VQA) has become a very hot research topic. Over …

Combined CNN/RNN video privacy protection evaluation method for monitoring home scene violence

J Liu, P Dai, G Han, N Sun - Computers and Electrical Engineering, 2023 - Elsevier
Rapid developments in technology have led to increasing numbers of video surveillance
devices in the home environment. The importance of video privacy protection has spurred …

Quality assessment of enhanced videos guided by aesthetics and technical quality attributes

M Agarla, L Celona, C Rota… - Proceedings of the …, 2023 - openaccess.thecvf.com
In this work we propose a novel method to evaluate the quality of enhanced videos.
Perceived quality of a video depends on both technical aspects, such as the presence of …

Quasi Real-Time Apple Defect Segmentation Using Deep Learning

M Agarla, P Napoletano, R Schettini - Sensors, 2023 - mdpi.com
Defect segmentation of apples is an important task in the agriculture industry for quality
control and food safety. In this paper, we propose a deep learning approach for the …

No-reference video quality assessment using distortion learning and temporal attention

K Kossi, S Coulombe, C Desrosiers, G Gagnon - IEEE Access, 2022 - ieeexplore.ieee.org
The rapid growth of video consumption and multimedia applications has increased the
interest of the academia and industry in building tools that can evaluate perceptual video …

No-reference video quality assessment using the temporal statistics of global and local image features

D Varga - Sensors, 2022 - mdpi.com
During acquisition, storage, and transmission, the quality of digital videos degrades
significantly. Low-quality videos lead to the failure of many computer vision applications …

No-reference video quality assessment using transformers and attention recurrent networks

K Kossi, S Coulombe, C Desrosiers - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, numerous studies have investigated the development of methods for video
quality assessment (VQA). These studies have predominantly focused on specific types of …

Efficient Computational Cost Saving in Video Processing for QoE Estimation

Á Llorente, J Guinea, JA Rodrigo, D Jimenez… - IEEE …, 2024 - ieeexplore.ieee.org
No-Reference video quality assessment has become a trending and challenging hot topic in
estimating perceived quality in audiovisual content. In this paper, we present a proposal to …