Search Results for author: François Pitié

Found 20 papers, 6 papers with code

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

1 code implementation26 Jun 2023 Vibhoothi, Angeliki Katsenou, François Pitié, Katarina Domijan, Anil Kokaram

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

no code implementations17 Apr 2023 Vibhoothi, Daniel Joseph Ringis, Xin Shu, François Pitié, Zsolt Lorincz, Philippe Brodeur, Anil Kokaram

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

1 code implementation28 Mar 2023 Vibhoothi, François Pitié, Angeliki Katsenou, Yeping Su, Balu Adsumilli, Anil Kokaram

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

1 code implementation27 Mar 2023 Clément Bled, François Pitié

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.

Image Denoising

Direct Optimisation of $\boldsymbolλ$ for HDR Content Adaptive Transcoding in AV1

no code implementations23 Aug 2022 Vibhoothi, François Pitié, Angeliki Katsenou, Daniel Joseph Ringis, Yeping Su, Neil Birkbeck, Jessie Lin, Balu Adsumilli, Anil Kokaram

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

1 code implementation23 Jun 2022 Vibhoothi, François Pitié, Anil Kokaram

Video transcoding is an increasingly important application in the streaming media industry.

Vocal Bursts Type Prediction

Per-clip adaptive Lagrangian multiplier optimisation with low-resolution proxies

no code implementations19 Apr 2022 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.

Per Clip Lagrangian Multiplier Optimisation for HEVC

no code implementations19 Apr 2022 Daniel J Ringis, François Pitié, Anil Kokaram

Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip.

Video Compression

Per-clip and per-bitrate adaptation of the Lagrangian multiplier in video coding

no code implementations19 Apr 2022 Daniel J. Ringis, François Pitié, Anil Kokaram

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.

SSIM

$F$, $B$, Alpha Matting

2 code implementations17 Mar 2020 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.

Image Matting

Getting to 99% Accuracy in Interactive Segmentation

3 code implementations17 Mar 2020 Marco Forte, Brian Price, Scott Cohen, Ning Xu, François Pitié

We propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.

Interactive Segmentation

Background Matting

no code implementations11 Feb 2020 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.

Image Matting Video Matting

The ALOS Dataset for Advert Localization in Outdoor Scenes

no code implementations16 Apr 2019 Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié

The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience.

BIG-bench Machine Learning Marketing +3

The CASE Dataset of Candidate Spaces for Advert Implantation

no code implementations21 Mar 2019 Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié

With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos.

Marketing Semantic Segmentation

ADNet: A Deep Network for Detecting Adverts

no code implementations9 Nov 2018 Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié

Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media.

Detecting Adverts Marketing

An Alternative Matting Laplacian

no code implementations16 May 2016 François Pitié

Cutting out and object and estimate its transparency mask is a key task in many applications.

Image Matting

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