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 …

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 …

VQAMap: A novel mechanism for mapping objective video quality metrics to subjective MOS scale

AN Moldovan, I Ghergulescu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The reliable estimation of video quality has become increasingly important with the
proliferation of online video services and users becoming more quality aware. A multitude of …

Applicability of existing objective metrics of perceptual quality for adaptive video streaming

J Søgaard, L Krasula, M Shahid, D Temel… - Electronic …, 2016 - library.imaging.org
Objective video quality metrics are designed to estimate the quality of experience of the end
user. However, these objective metrics are usually validated with video streams degraded …

LSB-based pre-embedding video steganography with rotating & shifting poly-pattern block matrix

M Hacimurtazaoglu, K Tutuncu - PeerJ Computer Science, 2022 - peerj.com
Background In terms of data-hiding areas, video steganography is more advantageous
compared to other steganography techniques since it uses video as its cover medium. For …

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 …

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 …

A low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos

S Van Damme, MT Vega, J Heyse, F De Backere… - Signal Processing …, 2020 - Elsevier
The increasing popularity of video gaming competitions, the so called eSports, has
contributed to the rise of a new type of end-user: the passive game video streaming (GVS) …

No-reference pixel based video quality assessment for HEVC decoded video

X Huang, J Søgaard, S Forchhammer - Journal of Visual Communication …, 2017 - Elsevier
This paper proposes a No-Reference (NR) Video Quality Assessment (VQA) method for
videos subject to the distortion given by the High Efficiency Video Coding (HEVC) scheme …

Measurement of objective video quality in social cloud based on reference metric

S Karim, H He, AR Junejo… - … and Mobile Computing, 2020 - Wiley Online Library
This paper explores the objective of the present video quality analysis (VQA) and measures
the full reference metrics keeping in view the quality degradation. During the research work …