activity
20172026
most citedEncoding Bitrate Optimization Using Playback Statistics for HTTP-based Adaptive Video Streaming

11 citations · 36 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

eess.IV2023★ 1 cited

Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1

Vibhoothi, Angeliki Katsenou, François Pitié +2

Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut. This High Dynamic Range (HDR) content has gained traction in the c…

cs.HC2023★ 1 cited

Recommendations for Verifying HDR Subjective Testing Workflows

Vibhoothi, Angeliki Katsenou, John Squires +2

Over the past few years, there has been an increase in the demand and availability of High Dynamic Range (HDR) displays and content. To ensure the production of high-quality materi…

eess.IV2023★ 1 cited

Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1

Vibhoothi, François Pitié, Angeliki Katsenou +3

The complexity of modern codecs along with the increased need of delivering high-quality videos at low bitrates has reinforced the idea of a per-clip tailoring of parameters for op…

eess.IV2023★ 2 cited

Filling the gaps in video transcoder deployment in the cloud

Vibhoothi, Daniel Joseph Ringis, Xin Shu +4

Cloud-based deployment of content production and broadcast workflows has continued to disrupt the industry after the pandemic. The key tools required for unlocking cloud workflows,…

eess.IV2023

Learnt Deep Hyperparameter selection in Adversarial Training for compressed video enhancement with perceptual critic

Darren Ramsook, Anil Kokaram

Image based Deep Feature Quality Metrics (DFQMs) have been shown to better correlate with subjective perceptual scores over traditional metrics. The fundamental focus of these DFQM…