TVV EP 10 - Tactics to implement ML in video compression and the story behind AWS Elemental's QVBR

12/23/22 • 39 min

Welcome to The Video Verse podcast, the show where we discuss everything related to video. On this episode we'll be talking about AI and machine learning and their effects on video compression with our special guest Ramzi Khsib, a Principal Software Engineer at AWS Elemental.
Watch the full video versionLearn more about Visionular and get more information on AV1

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Watch the full video version.Learn more about Visionular and get more information on AV1.

The VideoVerse - TVV EP 10 - Tactics to implement ML in video compression and the story behind AWS Elemental's QVBR

Transcript

Ramzi: Hello, I am Ramzi Khsib. I'm a Principal Software Engineer with AWS Elemental. I've been with AWS Elemental for over six years, and I've been working on video compression for the last 18 years. I mainly focus on video quality, any video compression algorithm out there. And my job is to make picture look good. I spend my day looking at video in a silent form, always on mute, and I know every person on the crowd run probably by nickname.
Mark: