A review of predictive quality of experience management in video streaming services

MT Vega, C Perra, F De Turck… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Satisfying the requirements of devices and users of online video streaming services is a
challenging task. It requires not only managing the network quality of service but also to …

A brief survey on adaptive video streaming quality assessment

W Zhou, X Min, H Li, Q Jiang - Journal of Visual Communication and Image …, 2022 - Elsevier
Quality of experience (QoE) assessment for adaptive video streaming plays a significant role
in advanced network management systems. It is especially challenging in case of dynamic …

Study of the subjective and objective quality of high motion live streaming videos

Z Shang, JP Ebenezer, Y Wu, H Wei… - … on Image Processing, 2021 - ieeexplore.ieee.org
Video livestreaming is gaining prevalence among video streaming service s, especially for
the delivery of live, high motion content such as sport ing events. The quality of the se …

Deep learning for quality assessment in live video streaming

MT Vega, DC Mocanu, J Famaey… - IEEE signal …, 2017 - ieeexplore.ieee.org
Video content providers put stringent requirements on the quality assessment methods
realized on their services. They need to be accurate, real-time, adaptable to new content …

No-reference video quality assessment based on the temporal pooling of deep features

D Varga - Neural processing letters, 2019 - Springer
Video quality assessment (VQA) is an important element of various applications ranging
from automatic video streaming to display technology. Furthermore, visual quality …

Convolutional neural networks for video quality assessment

M Giannopoulos, G Tsagkatakis, S Blasi… - arxiv preprint arxiv …, 2018 - arxiv.org
Video Quality Assessment (VQA) is a very challenging task due to its highly subjective
nature. Moreover, many factors influence VQA. Compression of video content, while …

Predictive no-reference assessment of video quality

MT Vega, DC Mocanu, S Stavrou, A Liotta - Signal Processing: Image …, 2017 - Elsevier
Among the various means to evaluate the quality of video streams, light-weight No-
Reference (NR) methods have low computation and may be executed on thin clients. Thus …

Deimeq-a deep neural network based hybrid no-reference image quality model

S Göring, A Raake - 2018 7th European Workshop on Visual …, 2018 - ieeexplore.ieee.org
Current no reference image quality assessment models are mostly based on hand-crafted
features (signal, computer vision,...) or deep neural networks. Using DNNs for image quality …

Unsupervised deep learning for real-time assessment of video streaming services

M Torres Vega, DC Mocanu, A Liotta - Multimedia Tools and Applications, 2017 - Springer
Evaluating quality of experience in video streaming services requires a quality metric that
works in real time and for a broad range of video types and network conditions. This means …

Perceptual aliasing factors and the impact of frame rate on video quality

RM Nasiri, Z Wang - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
High frame rate (HFR) videos have become increasingly popular in the past few years, and
frame rate is one of the major parameters for adjusting video data rate in real-world video …