With the development of computer and network technologies, video service and content will
continue to dominate while comparing to all other applications. It is particularly important to …

This paper focuses on the video distortion which is caused by the packet loss. Considering
the relationship between the human visual perception which is caused by the packet loss …

Over the top (OTT) video streaming is widely deployed to deliver stored media. But, the OTT
video quality assessment method is uncertain. In this paper, we introduce three application …

Since the end-user of video-based systems is often a human observer, prediction of human
perception of quality (HPoQ) is an important task for increasing the user satisfaction. Despite …

Video quality assessment is a crucial routine in the broadcasting industry. Due to the
duration and the excessive number of video files, a computer-based video quality …

In recent years, with the continuous development of network science and technology and the
continuous promotion of “three networks convergence”, IPTV (Interactive Network …

Video quality assessment has seen more importance due to vast data entering the internet
and multimedia communication network. This necessitates to predict the human observer's …

This paper proposes two video quality assessment methods based on deep neural
network.(i) The first method uses the IQF-CNN (convolution neural network based on image …

This paper presents a low complexity algorithm for video quality assessment, called
ViMSSIM, which extends the image quality metric MS-SSIM to take into account visual …

The booming of High Definition (HD) and UltraHD (UHD) videos in the last decade has
greatly promoted the use of video display on diversified terminals such as TV, tablets and …