12 citations · 55 across the 16 of their papers we have counts for
21 papers
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…
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…
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,…
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…
An Advert Creation System for 3D Product Placements
Ivan Bacher, Hossein Javidnia, Soumyabrata Dev +8
Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising. The common contextual advertising platfo…
Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Hao Wu, Gareth J. F. Jones, Francois Pitie
Live video commenting systems are an emerging feature of online video sites. Recently the Chinese video sharing platform Bilibili, has popularised a novel captioning system where u…
, , Alpha Matting
Marco Forte, François Pitié
Cutting out an object and estimating its opacity mask, known as image matting, is a key task in many image editing applications. Deep learning approaches have made significant prog…
Background Matting
Hossein Javidnia, François Pitié
The current state of the art alpha matting methods mainly rely on the trimap as the secondary and only guidance to estimate alpha. This paper investigates the effects of utilising…
Identifying Candidate Spaces for Advert Implantation
Soumyabrata Dev, Hossein Javidnia, Murhaf Hossari +7
Virtual advertising is an important and promising feature in the area of online advertising. It involves integrating adverts onto live or recorded videos for product placements and…
Localizing Adverts in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
Online videos have witnessed an unprecedented growth over the last decade, owing to wide range of content creation. This provides the advertisement and marketing agencies plethora…
The CASE Dataset of Candidate Spaces for Advert Implantation
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos. The users generate these video contents at…
The ALOS Dataset for Advert Localization in Outdoor Scenes
Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson +6
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience. One of the most widely used stra…
Solar flare forecasting from magnetic feature properties generated by Solar Monitor Active Region Tracker
Katarina Domijan, D. Shaun Bloomfield, Francois Pitie
We study the predictive capabilities of magnetic feature properties (MF) generated by Solar Monitor Active Region Tracker (SMART) for solar flare forecasting from two datasets: the…
ADNet: A Deep Network for Detecting Adverts
Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson +6
Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media. Recently, a…
An Advert Creation System for Next-Gen Publicity
Atul Nautiyal, Killian McCabe, Murhaf Hossari +7
With the rapid proliferation of multimedia data in the internet, there has been a fast rise in the creation of videos for the viewers. This enables the viewers to skip the advertis…
An Alternative Matting Laplacian
François Pitié
Cutting out and object and estimate its transparency mask is a key task in many applications. We take on the work on closed-form matting by Levin et al., that is used at the core o…