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 …

It is an important task to design models for universal no-reference video quality assessment
(NR-VQA) in multiple video processing and computer vision applications. However, most …

In addition to traditional Quality of Service (QoS), Quality of Experience (QoE) poses a real
challenge for Internet service providers, audio-visual services, broadcasters and new Over …

A high-definition video quality assessment (VQA) database that captures two typical video
distortion types in video services (namely,“compression” and “compression followed by …

Video quality assessment (VQA) methods focus on particular degradation types, usually
artificially induced on a small set of reference videos. Hence, most traditional VQA methods …

Video quality assessment with subjective testing is both time consuming and expensive. An
interesting new approach to traditional testing is the so-called crowdsourcing, moving the …

Neural radiance fields (NeRF) are a groundbreaking computer vision technology that
enables the generation of high-quality, immersive visual content from multiple viewpoints …

This paper introduces a new high-definition video quality database, referred to as BVI-HD,
which contains 32 reference and 384 distorted video sequences plus subjective scores. The …

It is known that the human visual system (HVS) employs independent processes (distortion
detection and artifact perception-also often referred to as near-threshold and suprathreshold …

In recent years, deep learning techniques have shown significant potential for improving
video quality assessment (VQA), achieving higher correlation with subjective opinions …