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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Bampis , Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies.

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Logging Best Practices Revisited [Video]

DZone

As I write this my interview on DevCentral hasn't started yet so if you subscribe to my blog or follow me on YouTube or LinkedIn , you might be able to catch it live. I covered this extensively in the old blog. I also did a video covering these ideas.

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Improving our video encodes for legacy devices

The Netflix TechBlog

by Mariana Afonso , Anush Moorthy , Liwei Guo , Lishan Zhu , Anne Aaron Netflix has been one of the pioneers of streaming video-on-demand content?—?we we announced our intention to stream video over 13 years ago, in January 2007?—?and how long it takes for the video to start playing), rebuffer rates, etc.,

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few.

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Toward a Better Quality Metric for the Video Community

The Netflix TechBlog

by Zhi Li, Kyle Swanson, Christos Bampis, Lukáš Krasula and Anne Aaron Over the past few years, we have been striving to make VMAF a more usable tool not just for Netflix, but for the video community at large. This tech blog highlights our recent progress toward this goal. VMAF stands for Video Multi-Method Assessment Fusion.

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