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A review of predictive quality of experience management in video streaming services
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 …
challenging task. It requires not only managing the network quality of service but also to …
A brief survey on adaptive video streaming quality assessment
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 …
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
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 …
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
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 …
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 …
from automatic video streaming to display technology. Furthermore, visual quality …
Convolutional neural networks for video quality assessment
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 …
nature. Moreover, many factors influence VQA. Compression of video content, while …
Predictive no-reference assessment of video quality
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 …
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 …
features (signal, computer vision,...) or deep neural networks. Using DNNs for image quality …
Unsupervised deep learning for real-time assessment of video streaming services
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 …
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
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 …
frame rate is one of the major parameters for adjusting video data rate in real-world video …