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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

By Soheil Esmaeilzadeh , Negin Salajegheh , Amir Ziai , Jeff Boote Introduction Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions.

C++ 312
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How To Implement Video Information and Editing APIs in Java

DZone

In the past 15+ years, online video traffic has experienced a dramatic boom utterly unmatched by any other form of content. A proportionate level of demand for video content was (probably) always there, but the willingness to pause videos and sit through long, frustrating video buffer times certainly put a dent in that demand.

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AVA Discovery View: Surfacing Authentic Moments

The Netflix TechBlog

Intro to AVA Discovery View AVA is an internal tool that surfaces still frames from video content. to pull moments from video content that authentically represent the title’s narrative themes, main characters, and visual characteristics. As a result, we often find that poor or no suggestions are returned for animated content.

Media 169
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

Separately, our invention of Dynamically Optimized ( DO ) encoding helps achieve optimized bitrate-quality tradeoffs depending on the complexity of the content. Prior to that, we were using a fixed ladder with predetermined bitrates — regardless of content characteristics — for HDR video streaming.

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Supporting content decision makers with machine learning

The Netflix TechBlog

by Melody Dye *, Chaitanya Ekanadham *, Avneesh Saluja *, Ashish Rastogi * contributed equally Netflix is pioneering content creation at an unprecedented scale. The stakes are high (content is expensive!) Figure 2: T-SNE visualization of embeddings learned from content categorization task.

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Don't rely on end-to-end tests: design for failure instead.

DZone

The first category would fall under integration testing, and you definitely need that. A scheduled process downloads this file daily and compares if the MD5 digest of the content differs from the last processed run. Since external dependencies are unreliable by nature you would think they also merit very thorough testing.

Design 193
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Remote Workstations for the Discerning Artists

The Netflix TechBlog

By Michelle Brenner Netflix is poised to become the world’s most prolific producer of visual effects and original animated content. Netflix Workstations are remote workstations that allow content creators to get to work wherever they are. Looking Ahead We’ve made it easier for artists to create content remotely.