In recent years, deep learning techniques have shown significant potential for improving
video quality assessment (VQA), achieving higher correlation with subjective opinions …

The multimedia content and streaming are a major means of information exchange in the
modern era and there is an increasing demand for such services. This coupled with the …

Fusion-based quality assessment has emerged as a powerful method for developing high-
performance quality models from quality models that individually achieve lower …

The Visual Multimethod Assessment Fusion (VMAF) algorithm has recently emerged as a
state-of-the-art approach to video quality prediction, that now pervades the streaming and …

Deep learning-based video quality assessment (deep VQA) has demonstrated significant
potential in surpassing conventional metrics, with promising improvements in terms of …

Recent years have seen steady growth in the popularity and availability of High Dynamic
Range (HDR) content, particularly videos, streamed over the internet. As a result, assessing …

In recent years, user-generated content (UGC) has become one of the major video types
consumed via streaming networks. Numerous research contributions have focused on …

Assessing and optimizing the perceptual quality of media plays an important role in
enhancing the subjective experiences of hundreds of millions of television, streaming, and …

An enormous amount of videos is being transferred over the network every second. To cope
with this large amount of video data, it is fundamental to have efficient video compression …

The services supported by data networks have become widespread, so the architectures of
the new data networks are service-oriented. They are endowed with intelligence, flexibility …