This article investigates the possibility to estimate the perceived Quality of Experience (QoE)
automatically and unobtrusively by analyzing the face of the consumer of video streaming …

In this paper we investigate on the potentials to implicitly estimate the Quality of Experience
(QoE) of a user of video streaming services by acquiring a video of her face and monitoring …

As known from everyday contexts of multimedia usage, suddenly occurring quality
impairments are capable of causing strong negative emotions in human users. This is …

The usage of network-demanding applications is growing rapidly such as video streaming
on mobile terminals. However, network and/or service providers might not guarantee the …

With the widespread adoption of mobile Internet, the process of streaming video has
become varied and complex. A diversity of factors affect the way we perceive quality in video …

Multimedia and audio-visual services are observing a huge explosion during the last years.
In this context, users' satisfaction is the aim of each service provider to reduce the churn …

Most automatic Quality of Experience (QoE) assessment models have so far aimed at
predicting the QoE of a video as experienced by an average user, and solely based on …

Live mobile streaming applications will be among the most important applications in future
wireless multimedia systems. Hence, a Quality of Experience (QoE) assessment control …

Online videoconferencing applications have become more popular and occupy a significant
portion of consumer Internet traffic. Thus, it is crucial to assess the Quality of Experience …

The wide range of multimedia services has been attracting more users every day, while the
increasing number of users plays an important role in the competitive advantage for …