Amazon Technologies, Inc.

Tarek Amara

Daniel Lin

Hassan Heidari Namarvar

Ryan Bickhart

Luke Curley

Andrew Francis

Selvanayagam Sendurpandian

Nikhil Purushe

Ross Engers

Shuhan Jin

Levi Lovelock

Berk Taner

Yann Landry

Neeraj Satish Joshi

Jean-Sebastien Royer

Richard Leider

Krishnakanth Rapaka

Sunil Gopal Koteyar

John Bowers

Techniques and systems for adaptive bitrate optimization for live content delivery are disclosed. In some embodiments, such techniques may include extracting, in real-time, features from content segments of a video stream; for each content segment of the video stream, identifying a rate-distortion (RD) cluster from a mapping of extracted features to RD clusters using one or more trained machine learning models; and transcoding the video stream by applying, to the content segments, a transcoding ladder having bitrate information corresponding to each identified RD cluster.

Adaptive bitrate optimization for content delivery

A processing service of a provider network may protect media content from being tampered with when it is transmitted from the provider network/transcoder to untrusted networks (e.g., third-party networks/CDNs) and to a media player. The processing service (e.g., the transcoder) generates a public and a private key. The service uses the private key to digitally sign content portions (e.g., video frames) before distribution to untrusted CDNs. The provider network creates a manifest that includes the public key. To play the media content, the media player obtains a manifest that includes the public key (via a secure/trusted connection with the provider network). The media player may then obtain the media content from an untrusted edge server/CDN and validate it using the public key that was separately obtained from the manifest (to verify the content was not tampered with).

Protecting media content integrity across untrusted networks

Growing community of inventors

Pleasanton, CA, United States of America

Tarek Amara