11 citations · 36 across the 15 of their papers we have counts for
12 papers · 1 filter
An AI Teaching Assistant for Motion Picture Engineering
Deirdre O'Regan, Anil C. Kokaram
The rapid rise of LLMs over the last few years has promoted growing experimentation with LLM-driven AI tutors. However, the details of implementation, as well as the benefit in a t…
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…
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…
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,…
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…
Direct Optimisation of for HDR Content Adaptive Transcoding in AV1
Vibhoothi, François Pitié, Angeliki Katsenou +6
Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium. AV1, the latest open sour…
Frame-type Sensitive RDO Control for Content-Adaptive-encoding
Vibhoothi, François Pitié, Anil Kokaram
Video transcoding is an increasingly important application in the streaming media industry. It has become important to investigate the optimisation of transcoder parameters for a s…
Near Optimal Per-Clip Lagrangian Multiplier Prediction in HEVC
Daniel J Ringis, François Pitié, Anil Kokaram
The majority of internet traffic is video content. This drives the demand for video compression to deliver high quality video at low target bitrates. Optimising the parameters of a…
Per-clip and per-bitrate adaptation of the Lagrangian multiplier in video coding
Daniel J. Ringis, François Pitié, Anil Kokaram
In the past ten years there have been significant developments in optimization of transcoding parameters on a per-clip rather than per-genre basis. In our recent work we have prese…
Per-clip adaptive Lagrangian multiplier optimisation with low-resolution proxies
Daniel J. Ringis, François Pitié, Anil Kokaram
This work focuses on reducing the computational cost of repeated video encodes by using a lower resolution clip as a proxy. Features extracted from the low resolution clip are used…
Per Clip Lagrangian Multiplier Optimisation for HEVC
Daniel J Ringis, François Pitié, Anil Kokaram
The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigat…
Using modern motion estimation algorithms in existing video codecs
Daniel J. Ringis, Davinder Singh, Francois Pitie +1
Motion estimation is a key component of any modern video codec. Our understanding of motion and the estimation of motion from video has come a very long way since 2000. More than 1…