TOPIC: Mobile, Video and Web

Video @Scale 2016

JANUARY 21, 2016 @ 10:00 AM PST - 5:00 PM PST
Designed for engineers that develop or manage large-scale video systems serving millions of people. The development of large-scale video systems includes complex, unprecedented engineering challenges.


Scaling video isn’t easy. As companies work to seamlessly serve ever-increasing amounts of data for video and VR, engineers gathered at Video @Scale in January 2016 to hear about new encoding technologies, high dynamic range video, how AI is working to understand video, and how to scale a live sporting event to the size of a TV audience. Presentations from Akamai, Facebook, Netflix, Yahoo, and YouTube are below.


Event times below are displayed in PT.

January 21

10:00 AM - 05:00 PM
Akamai and beyond TCP: Scaling video delivery into the future by reinventing the core distribution protocols

In its role delivering content for a vast number of customers, Akamai sits in a unique position to observe the biggest challenges in continuing to scale video delivery systems into the future. Having lived with TCP since 1974 as our primary mechanism for reliable message delivery, the time is now to design and deploy systems that meet the specific needs of our video platforms. This talk will cover ongoing R&D and production deployment results as Akamai works to replace TCP to provide secure protocol acceleration, multicast, and peer-to-peer enabled protocols.

Speaker Kit Knox,Media Engineering
10:00 AM - 05:00 PM
Using AI to understand video

Manohar Paluri, a research lead on the Facebook AI Research and Applied Machine Learning teams, describes various AI efforts to understand the semantics of videos.

Speaker Manohar Paluri,Facebook
10:00 AM - 05:00 PM
Live video for millions: Yahoo NFL game

Omer Luzzatti, senior director of Yahoo video platform, talks about the challenges and approaches to live-streaming a regular season NFL game, the largest free live-streaming event in US sports history.

Speaker Omer Luzzatti,Yahoo
10:00 AM - 05:00 PM
AI encoding at scale

Facebook engineering manager Mike Coward describes how machine learning is applied to encode scenes individually at the highest possible quality while minimizing data consumption.

Speaker Mike Coward,Facebook
10:00 AM - 05:00 PM
Distributed encoding at scale

Research scientist Qi Huang introduces Facebook’s new Streaming Video Engine, which enables distributed encoding at scale.

Speaker Qi Huang,Facebook
10:00 AM - 05:00 PM
High dynamic range video

YouTube’s Steven Robertson delivers a practical talk to the Video @Scale audience that goes over everything you need to start playing with high dynamic range video, from creation to consumption.

Speaker Steve Robertson,Youtube
10:00 AM - 05:00 PM
360 video: Enabling high-quality streaming at scale

Facebook software engineers David Pio and Evgeny Kuzyakov detail the transformations and optimizations applied to make high-quality 360 video encoding and streaming possible at scale.

Speaker David Pio,Facebook
Speaker Evgeny Kuzyakov,Facebook
10:00 AM - 05:00 PM
Facebook Live video for News Feed (part 1)

Facebook’s Bhavana Radhakrishnan speaks at Video @Scale about the broadcast and playback media streaming protocols that provide the ability for people to share live video on Facebook.

Speaker Bhavana Radhakrishnan,Facebook
10:00 AM - 05:00 PM
Facebook Live video for News Feed (part 2)

Peter Knowles talks about the general architecture of Facebook’s Live Video infrastructure, with a focus on the network and caching topology required to implement such a massively scalable live video streaming system.

Speaker Peter Knowles,Facebook
10:00 AM - 05:00 AM
Building the Complexity-Based Encoding (CBE) optimization model

David Ronca, director of encoding technologies at Netflix, describes the Complexity-Based Encoding model, which algorithmically determines the best video encoding recipe for a given title.

Speaker David Ronca,Facebook


Kit Knox

Media Engineering

Manohar Paluri


Omer Luzzatti


Mike Coward


Qi Huang


Steve Robertson


David Pio


Evgeny Kuzyakov


Bhavana Radhakrishnan


Peter Knowles


David Ronca


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