Study of subjective and objective quality assessment of video
IEEE Transactions on Image Processing
A study on a QoS/QoE correlation model for QoE evaluation on IPTV service
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
The value of relative quality in video delivery
Journal of Mobile Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An information fidelity criterion for image quality assessment using natural scene statistics
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
Adaptive psychometric scaling for video quality assessment
Image Communication
Quality of Experience Models for Multimedia Streaming
International Journal of Mobile Computing and Multimedia Communications
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Monitoring and controlling the user's Quality of Experience (QoE) in modern video services is a challenging proposition, mainly due to the limitations of current video quality assessment algorithms. While subjective QoE methods would better reflect the nature of human perception, these are not suitable in real-time automation cases. On the other hand, the existing objective algorithms are either too complex or too inaccurate, particularly in the context of lightweight devices such as camera sensors or smart phones. This paper introduces a novel objective QoE algorithm, Instantaneous Video Quality Assessment (IVQA), that is comparably as accurate as the most heavyweight algorithm available in the literature but can also be run in real-time. This approach is tested against a selection of ten objective metrics and benchmarked with a subjective user dataset.