The rapid increase in user-generated-content (UGC) videos calls for the development of
effective video quality assessment (VQA) algorithms. However, the objective of the UGC …

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved
problem of great consequence to the social and streaming media industries that impacts …

No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and
important problem for social and streaming media applications. Efficient and accurate video …

The proliferation of in-the-wild videos has greatly expanded the Video Quality Assessment
(VQA) problem. Unlike early definitions that usually focus on limited distortion types, VQA on …

Free viewpoint videos (FVVs) provide immersive experiences for end-users, and they have
been applied in many applications, such as movies, sports, and TV shows. However, the …

Emotional expressions form a key part of user behavior on today's digital platforms. While
multimodal emotion recognition techniques are gaining research attention, there is a lack of …

In order to obtain high-quality images, the application of low-illumination image
enhancement techniques plays a vital role in enhancing the overall visual appeal. However …

Advertisements (ads) often contain strong emotions to capture audience attention and
convey an effective message. Still, little work has focused on affect recognition (AR) from ads …

We examine the utility of implicit user behavioral signals captured using low-cost, off-the-
shelf devices for anonymous gender and emotion recognition. A user study designed to …

Content providers increasingly replace traditional constant bitrate with variable bitrate (VBR)
encoding in real-time video communication systems for better video quality. However, VBR …