With the proliferation of video based applications, the interest for video quality assessment
(VQA) has been rising. Subjective VQA experiments are expensive and time consuming …

When the video is compressed and transmitted over heterogeneous networks, it is
necessary to ensure the satisfying quality for the end user. Since human observers are the …

Due to the distortion of projection generated during the production of 360∘ video, most
quality assessment algorithms used for 2D video have the problem of performance …

Virtual reality (VR) videos, especially 360-degree VR videos, have attracted substantial
research interests with the explosion of mobile VR devices in recent years. In this work, we …

A key component in VR systems is omnidirectional content, which provides 360-degree
views of scenes. At a given time, only a portion of a content, called viewport, is displayed …

360 videos have recently become a popular virtual reality content type. However, a good
quality metric for 360 videos is still an open issue. In this work, our goal is to identify …

We present the outcomes of a recent large-scale subjective study of Mobile Cloud Gaming
Video Quality Assessment (MCG-VQA) on a diverse set of gaming videos. Rapid …

We propose a new viewport-based multi-metric fusion (MMF) approach for visual quality
assessment of 360-degree (omnidirectional) videos. Our method is based on computing …

Traditional challenges for deploying end-to-end streaming systems are made harder when
considering 360-degree media content. One of these challenges relates to the lack of …

In this paper, we propose a no-reference video quality assessment (VQA) method based on
Convolutional Neural Network (CNN) and Multi-Regression (CNN-MR). It is universal for …