1 research outputs found
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. The key tools required
for unlocking cloud workflows, e.g., transcoding, metadata parsing, and
streaming playback, are increasingly commoditized. However, as video traffic
continues to increase there is a need to consider tools which offer
opportunities for further bitrate/quality gains as well as those which
facilitate cloud deployment. In this paper we consider preprocessing,
rate/distortion optimisation and cloud cost prediction tools which are only
just emerging from the research community. These tools are posed as part of the
per-clip optimisation approach to transcoding which has been adopted by large
streaming media processing entities but has yet to be made more widely
available for the industry.Comment: Camera-ready version of BEIT Conference at NAB 202