Video super-resolution (SR) aims to generate a high-resolution (HR) frame from multiple low-
resolution (LR) frames. The inter-frame temporal relation is as crucial as the intra-frame …

The great variations of videographic skills in videography, camera designs, compression
and processing protocols, communication and bandwidth environments, and displays leads …

The widespread use of mobile and high definition video devices is changing Internet traffic,
with a significant increase in multimedia content, especially video on demand (VoD) and …

Deep learning methods are increasingly being applied in the optimisation of video
compression algorithms and can achieve significantly enhanced coding gains, compared to …

In this paper, we present a new video database: CVD2014-Camera Video Database. In
contrast to previous video databases, this database uses real cameras rather than …

Video super-resolution (SR) aims at estimating a high-resolution video sequence from a low-
resolution (LR) one. Given that the deep learning has been successfully applied to the task …

Video livestreaming is gaining prevalence among video streaming service s, especially for
the delivery of live, high motion content such as sport ing events. The quality of the se …

Most of today's video quality assessment (VQA) databases contain very limited content and
distortion diversities and fail to adequately represent real world video impairments. This is in …

The research on video quality metrics depends on the results from subjective testing for both
the design and development of metrics, but also for their verification. As it is often too …

Video live streaming is gaining prevalence among video streaming services, especially for
the delivery of popular sporting events. Many objective Video Quality Assessment (VQA) …