Current deep video quality assessment (VQA) methods are usually with high computational
costs when evaluating high-resolution videos. This cost hinders them from learning better …

Compared with spatial counterparts, temporal relationships between frames and their
influences on video quality assessment (VQA) are still relatively under-studied in existing …

Promotional videos are rapidly becoming a popular medium for persuading people to
change their behaviours in many settings (eg, online shop**, social enterprise initiatives) …

Video quality assessment (VQA) has attracted growing attention in recent years. While the
great expense of annotating large-scale VQA datasets has become the main obstacle for …

The rapid growth of video consumption and multimedia applications has increased the
interest of the academia and industry in building tools that can evaluate perceptual video …

Understanding and modeling the popularity of User Generated Content (UGC) short videos
on social media platforms presents a critical challenge with broad implications for content …

User generated content (UGC) refers to videos that are uploaded by users and shared over
the Internet. UGC may have low quality due to noise and previous compression. When re …

In recent years, numerous studies have investigated the development of methods for video
quality assessment (VQA). These studies have predominantly focused on specific types of …

With the rapid development of media, the role of video quality assessment (VQA) is
becoming increasingly significant. VQA has applications in many domains. For example, in …

The increasing popularity of multimedia content, particularly videos, has highlighted the
significance of compression methods like HEVC and H. 264, which effectively reduce file …