Published in Netflix TechBlog·PinnedBuilding a Media Understanding Platform for ML InnovationsBy Guru Tahasildar, Amir Ziai, Jonathan Solórzano-Hamilton, Kelli Griggs, Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Earlier we shared the details of one of these algorithms, introduced how our platform team is evolving the media-specific machine learning ecosystem, and discussed how data from…Machine Learning12 min readMachine Learning12 min read
Published in Netflix TechBlog·PinnedScaling Media Machine Learning at NetflixBy Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein Taghavi Introduction In 2007, Netflix started offering streaming alongside its DVD shipping services. As the catalog grew…Machine Learning11 min readMachine Learning11 min read
Published in Netflix TechBlog·Mar 3Data ingestion pipeline with Operation Managementby Varun Sekhri, Meenakshi Jindal, Burak Bacioglu — Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. …Annotations7 min readAnnotations7 min read
Published in Netflix TechBlog·Jan 30Discovering Creative Insights in Promotional ArtworkBy Grace Tang, Aneesh Vartakavi, Julija Bagdonaite, Cristina Segalin, and Vi Iyengar When members are shown a title on Netflix, the displayed artwork, trailers, and synopses are personalized. That means members see the assets that are most likely to help them make an informed choice. These assets are a critical…Data Science9 min readData Science9 min read
Published in Netflix TechBlog·Jan 26Scalable Annotation Service — Markenby Varun Sekhri, Meenakshi Jindal — Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. All of these services at a later point want to annotate their objects or…Annotations11 min readAnnotations11 min read
Jan 11Causal Machine Learning for Creative InsightsA framework to identify the causal impact of successful visual components. By Billur Engin, Yinghong Lan, Grace Tang, Cristina Segalin, Kelli Griggs, Vi Iyengar Introduction At Netflix, we want our viewers to easily find TV shows and movies that resonate and engage. Our creative team helps make this happen by…Causal Inference13 min readCausal Inference13 min read
Published in Netflix TechBlog·Dec 17, 2022Data Reprocessing Pipeline in Asset Management Platform @NetflixBy Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation…Data Processing7 min readData Processing7 min read
Published in Netflix TechBlog·Dec 4, 2022Ready-to-go sample data pipelines with Dataflowby Jasmine Omeke, Obi-Ike Nwoke, Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow. That article…Data Engineering13 min readData Engineering13 min read
Published in Netflix TechBlog·Nov 17, 2022Match Cutting: Finding Cuts with Smooth Visual Transitions Using Machine LearningBy Boris Chen, Kelli Griggs, Amir Ziai, Yuchen Xie, Becky Tucker, Vi Iyengar, Ritwik Kumar, Keila Fong, Nagendra Kamath, Elliot Chow, Robert Mayer, Eugene Lok, Aly Parmelee, Sarah Blank Creating Media with Machine Learning episode 1 Introduction At Netflix, part of what we do is build tools to help our creatives…Machine Learning12 min readMachine Learning12 min read
Published in Netflix TechBlog·Nov 15, 2022Helping VFX studios pave a path to the cloudBy: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.), Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the VFX process VFX studios around the world create amazing imagery for Netflix productions. Nearly every show that is produced today includes digital visual effects, from the creatures in Stranger Things, to recreating historic London in…Vfx5 min readVfx5 min read
