Search Results for author:
Found 21 papers, 6 papers with code
Unravelling the Power of Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment
Modern video encoders have evolved into sophisticated pieces of software in which various coding tools interact with each other.
Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut.
Filling the gaps in video transcoder deployment in the cloud
Cloud-based deployment of content production and broadcast workflows has continued to disrupt the industry after the pandemic.
Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1
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 optimised rate-distortion performance.
Pushing The Limits of the Wiener Filter in Image Denoising
As modern image denoiser networks have grown in size, their reported performance in popular real noise benchmarks such as DND and SIDD have now long outperformed classic non-deep learning denoisers such as Wiener and Wavelet-based methods.
Direct Optimisation of $\boldsymbolλ$ for HDR Content Adaptive Transcoding in AV1
Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium.
Frame-type Sensitive RDO Control for Content-Adaptive-encoding
Video transcoding is an increasingly important application in the streaming media industry.
Per Clip Lagrangian Multiplier Optimisation for HEVC
Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip.
Per-clip adaptive Lagrangian multiplier optimisation with low-resolution proxies
This work focuses on reducing the computational cost of repeated video encodes by using a lower resolution clip as a proxy.
Near Optimal Per-Clip Lagrangian Multiplier Prediction in HEVC
The majority of internet traffic is video content.
Per-clip and per-bitrate adaptation of the Lagrangian multiplier in video coding
In our recent work we have presented per-clip optimization for the Lagrangian multiplier in Rate controlled compression, which yielded BD-Rate improvements of approximately 2\% across a corpus of videos using HEVC.
An Advert Creation System for 3D Product Placements
Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising.
Getting to 99% Accuracy in Interactive Segmentation
We propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.
$F$, $B$, Alpha Matting
Cutting out an object and estimating its opacity mask, known as image matting, is a key task in many image editing applications.
Ranked #8 on
Image Matting
on Composition-1K
Background Matting
The current state of the art alpha matting methods mainly rely on the trimap as the secondary and only guidance to estimate alpha.
Identifying Candidate Spaces for Advert Implantation
Virtual advertising is an important and promising feature in the area of online advertising.
The ALOS Dataset for Advert Localization in Outdoor Scenes
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience.
The CASE Dataset of Candidate Spaces for Advert Implantation
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos.
ADNet: A Deep Network for Detecting Adverts
Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media.
An Alternative Matting Laplacian
Cutting out and object and estimate its transparency mask is a key task in many applications.
