Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

The field of perceptual quality assessment has gone through a wide range of developments
and it is still growing. In particular, the area of no-reference (NR) image and video quality …

Measuring perceived quality of audio-visual signals at the end-user has become an
important parameter in many multimedia networks and applications. It plays a crucial role in …

During the last few years, different parametric models were proposed for video quality
estimation. Each model uses different parameters as inputs, such as bit rate, frame rate and …

In this paper, we present an Android application which is able to evaluate and analyze the
perceived quality of experience (QoE) for YouTube service in wireless terminals. To achieve …

The aim of this paper is to present video quality prediction models for objective non‐
intrusive, prediction of H. 264 encoded video for all content types combining parameters …

In this paper we analyze how the frame rate affects the video perceived quality for different
video contents. Combining these results with our previous work, a new parametric model is …

Video applications such as video-on-demand and videoconferencing over wireless
networks require system resources to be allocated dynamically and optimally in accordance …

Network quality of service (NQoS) of IP networks is unpredictable and impacts the quality of
networked multimedia services. Adaptive voice and video schemes are therefore vital for the …

Mobile/wireless multimedia applications (eg, video calls and IPTV) have gained great
momentum in recent years. An important issue is to monitor/predict overall audiovisual …