Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

Quality assessment for User Generated Content (UGC) videos plays an important role in
ensuring the viewing experience of end-users. Previous UGC video quality assessment …

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

With the popularity of mobile Internet, audio and video (A/V) have become the main way for
people to entertain and socialize daily. However, in order to reduce the cost of media …

Traditional in the wild image quality assessment (IQA) models are generally trained with the
quality labels of mean opinion score (MOS), while missing the rich subjective quality …

Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive
progress in recent years. However, in many cases, obtaining the reference point clouds is …

Audiovisual Event (AVE) localization requires the model to jointly localize an event by
observing audio and visual information. However, in unconstrained videos, both information …

Low-light image enhancement algorithms (LIEA) can light up images captured in dark or
back-lighting conditions. However, LIEA may introduce various distortions such as structure …

Some tasks in content processing, eg, natural language processing (NLP), like hate or
offensive speech and emotional or funny text detection, are subjective by nature. Each …