Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut.
Cloud-based deployment of content production and broadcast workflows has continued to disrupt the industry after the pandemic.
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.
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.
Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium.
This work focuses on reducing the computational cost of repeated video encodes by using a lower resolution clip as a proxy.
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.
no code implementations • 26 Jun 2020 • Ivan Bacher, Hossein Javidnia, Soumyabrata Dev, Rahul Agrahari, Murhaf Hossari, Matthew Nicholson, Clare Conran, Jian Tang, Peng Song, David Corrigan, François Pitié
Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising.
We propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.
Virtual advertising is an important and promising feature in the area of online advertising.
Such techniques involve replacing an existing advertisement in a video frame, with a new advertisement.
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience.
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos.
Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media.