AWS Media Blog
Category: Amazon Rekognition
Part 1: Build powerful news stories with historical context using machine learning
Introduction The expansive and ongoing market penetration of broadband services and mobility devices has triggered exponential demand for content across the globe. News content is no exception, with steady growth in the number of players in the news business. User generated content (UGC) on social media platforms is also a strong disruptor. At times, breaking […]
Part 3: contextualized viewer engagement and monetization for live OTT events
This is the third and final post in the series of blog posts on contextualized viewer engagement and monetization for live over-the-top (OTT) events. This post details how Amazon Personalize, which allows developers to quickly build and deploy curated recommendations and intelligent user segmentation at scale using machine learning (ML), can be adopted to determine […]
DAZN leverages Amazon Rekognition Custom Labels to score big with Nippon Professional Baseball fans
Baseball isn’t just America’s favorite pastime; it’s also one of the most popular sports in Japan. Nippon Professional Baseball (NPB), the Japanese equivalent of Major League Baseball (MLB), attracts a fanbase of more than 20 million. Following the sport, however, requires ultimate fan dedication, as NPB teams hit the field more than three times a […]
Live content moderation using machine learning
Managing live channels requires humans to monitor streams for unexpected content. It is particularly important to detect harmful content quickly and take appropriate measures for moderation. This guide describes the steps you can take to implement an automatic solution to extract, store, analyze, and sort images from your live channel using cloud services from Amazon […]
AWS Partner TrackIt streamlines the content curation process with AI Video Reviewer
Authored by Brad Winett, President and Partner at TrackIt. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. As the availability and demand for media content continues to explode, companies that deal with large volumes of media assets […]
Best Practices for Implementing a Media Asset Management (MAM) Solution on AWS
Media & Entertainment (M&E) customers seeking to modernize their Media Asset Management (MAM) on Amazon Web Services (AWS) have questions to consider before getting started: Should they build their own solution or invest in a 3rd party system? How can they best leverage AWS services to get the most from a MAM in the cloud? […]
Media intelligence just got smarter with Media2Cloud 3.0
We are happy to announce the official release of Media2Cloud 3.0. This release helps AWS customers simplify and expedite their media migration workflow into AWS. It provides a framework to implement artificial intelligence and machine learning (AI/ML) to create frame-level descriptive metadata about content. This new version of Media2Cloud still includes the features that customers have […]
Use machine learning to filter user-generated content and protect your brand
The use of artificial intelligence (AI) helps speed up many operations that were unthinkable until some time ago. In many cases, it is necessary to understand the content of your image archive or the dialogue in an audio or video file to intercept content deemed harmful, dangerous, or out of place for a given situation […]
Stream tennis matches through AWS Elemental MediaLive and generate real-time replays with Amazon Rekognition
UPDATE: A new open source solution called Media Replay Engine (MRE) was released to the public that provides a scalable plugin-based framework designed to process live video sources and generate clips and highlights that support several linear and digital channel use cases. You can find it here: https://github.com/awslabs/aws-media-replay-engine. Broadcasters are increasingly looking to the cloud […]
The evolution of broadcast cloud playout
This post is co-authored by Martin Whittaker – Technical Product Director, Evertz, Aekta Joshi – Sr. Cloud Infrastructure Architect – AWS ProServe M&E, and Mark Stephens, Partner Solutions Architect – AWS. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of […]