Search Results for author: Anil Kokaram

Found 14 papers, 3 papers with code

Unravelling the Power of Single-Pass Look-Ahead in Modern Codecs for Optimized Transcoding Deployment

no code implementations8 Apr 2024 Vibhoothi Vibhoothi, Julien Zouein, François Pitié, Anil Kokaram

Modern video encoders have evolved into sophisticated pieces of software in which various coding tools interact with each other.

A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024

no code implementations31 Jan 2024 Darren Ramsook, Anil Kokaram

At practical streaming bitrates, traditional video compression pipelines frequently lead to visible artifacts that degrade perceptual quality.

Video Compression

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.

4k

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.

Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications

no code implementations10 Nov 2022 Michael O'Byrne, Vibhoothi, Mark Sugrue, Anil Kokaram

This study examines the relationship between H. 264 video compression and the performance of an object detection network (YOLOv5).

object-detection Object Detection +1

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

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