Quality assessment of in-the-wild videos is a challenging problem because of the absence
of reference videos and shooting distortions. Knowledge of the human visual system can …

Video quality assessment (VQA) is an important problem in computer vision. The videos in
computer vision applications are usually captured in the wild. We focus on automatically …

In this work, we investigate the use of deep learning for distortion-generic blind image
quality assessment. We report on different design choices, ranging from the use of features …

Image quality assessment (IQA) has attracted more and more attention due to the urgent
demand in image services. The perceptual-based image compression is one of the most …

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 …

The original JPEG compression standard is efficient at low to medium levels of compression
with relatively low levels of loss in visual image quality and has found widespread use in the …

The explosion of user-generated videos stimulates a great demand for no-reference video
quality assessment (NR-VQA). Inspired by our observation on the actions of human …

The implementation of automatic, adaptive filters in consumer imaging devices represents
challenges to sharpness and resolution evaluation. The widely used e-SFR and other …

The objective of this investigation is to produce recommendations for acceptable bit-rates of
CCTV footage of people onboard London buses. The majority of CCTV recorders on buses …

This investigation examines the relationships between image fidelity, acceptability
thresholds and scene content for images distorted by lossy compression. Scene …