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TVV EP 20 - Demystifying VMAF with Zhi Li

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Manage episode 372696403 series 3369885
Content provided by Visionular. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Visionular or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The VMAF video quality metric is ubiquitous in the streaming world, and any discussion of video codec performance is seldom complete without poring over VMAFscores. But what is it? In this episode VMAF guru and leader of the Netflix Video Codecs and Quality team joins us to delve into the mysteries of the metric. How did it originate and why was it needed? How has VMAF been developed and what does the future hold for improvements? Along the way we talk about the work he and his team do at Netflix and where quality assessment and codec development is leading in a world of generative AI.
Watch on YouTube

  continue reading

Chapters

1. TVV EP 20 - Demystifying VMAF with Zhi Li (00:00:00)

2. Team's current effort on video codec (00:04:42)

3. How to control the complexity in less banding and higher resolution (00:12:17)

4. Serve a different recipe to different categories (00:21:08)

5. Gray zone of VMAF (00:32:03)

6. Machine learning based model (00:44:38)

7. The human appetite for better and better content quality is progressing over time (01:00:44)

28 episodes

Artwork
iconShare
 
Manage episode 372696403 series 3369885
Content provided by Visionular. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Visionular or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The VMAF video quality metric is ubiquitous in the streaming world, and any discussion of video codec performance is seldom complete without poring over VMAFscores. But what is it? In this episode VMAF guru and leader of the Netflix Video Codecs and Quality team joins us to delve into the mysteries of the metric. How did it originate and why was it needed? How has VMAF been developed and what does the future hold for improvements? Along the way we talk about the work he and his team do at Netflix and where quality assessment and codec development is leading in a world of generative AI.
Watch on YouTube

  continue reading

Chapters

1. TVV EP 20 - Demystifying VMAF with Zhi Li (00:00:00)

2. Team's current effort on video codec (00:04:42)

3. How to control the complexity in less banding and higher resolution (00:12:17)

4. Serve a different recipe to different categories (00:21:08)

5. Gray zone of VMAF (00:32:03)

6. Machine learning based model (00:44:38)

7. The human appetite for better and better content quality is progressing over time (01:00:44)

28 episodes

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