activity
20202026
most citedVMAF-based Bitrate Ladder Estimation for Adaptive Streaming

29 citations · 83 across the 24 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.IV2023

Comparative Study of Hardware and Software Power Measurements in Video Compression

Angeliki Katsenou, Xinyi Wang, Daniel Schien +1

The environmental impact of video streaming services has been discussed as part of the strategies towards sustainable information and communication technologies. A first step towar…

cs.CV2023

UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment

Xinyi Wang, Angeliki Katsenou, David Bull

The volume of User Generated Content (UGC) has increased in recent years. The challenge with this type of content is assessing its quality. So far, the state-of-the-art metrics are…

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…