162 citations · 471 across the 20 of their papers we have counts for
10 papers · 1 filter
Transform and Bitstream Domain Image Classification
P. R. Hill, D. R. Bull
Classification of images within the compressed domain offers significant benefits. These benefits include reduced memory and computational requirements of a classification system.…
Perceptually-inspired super-resolution of compressed videos
Di Ma, Mariana Afonso, Fan Zhang +1
Spatial resolution adaptation is a technique which has often been employed in video compression to enhance coding efficiency. This approach encodes a lower resolution version of th…
An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs
Fan Zhang, David R. Bull
This paper describes an adaptive Lagrange multiplier determination method for rate-quality optimisation in video compression. Inspired by the experimental results of a Lagrange mul…
Quality assessment methods for perceptual video compression
Fan Zhang, David R. Bull
This paper describes a quality assessment model for perceptual video compression applications (PVM), which stimulates visual masking and distortion-artefact perception using an ada…
A Subjective Study on Videos at Various Bit Depths
Alex Mackin, Di Ma, Fan Zhang +1
Bit depth adaptation, where the bit depth of a video sequence is reduced before transmission and up-sampled during display, can potentially reduce data rates with limited impact on…
VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
Angeliki V. Katsenou, Fan Zhang, Kyle Swanson +3
In HTTP Adaptive Streaming, video content is conventionally encoded by adapting its spatial resolution and quantization level to best match the prevailing network state and display…
Enhancing VMAF through New Feature Integration and Model Combination
Fan Zhang, Angeliki Katsenou, Christos Bampis +3
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through…
Texture-aware Video Frame Interpolation
Duolikun Danier, David Bull
Temporal interpolation has the potential to be a powerful tool for video compression. Existing methods for frame interpolation do not discriminate between video textures and genera…
Efficient Bitrate Ladder Construction for Content-Optimized Adaptive Video Streaming
Angeliki V. Katsenou, Joel Sole, David R. Bull
One of the challenges faced by many video providers is the heterogeneity of network specifications, user requirements, and content compression performance. The universal solution o…
Study of Compression Statistics and Prediction of Rate-Distortion Curves for Video Texture
Angeliki V. Katsenou, Mariana Afonso, David R. Bull
Encoding textural content remains a challenge for current standardised video codecs. It is therefore beneficial to understand video textures in terms of both their spatio-temporal…