AWS for M&E Blog

Category: Amazon Rekognition

Source monitoring for AWS Elemental MediaLive via Amazon Rekognition

Introduction AWS Elemental MediaLive is a broadcast-grade video encoder with a comprehensive suite of metrics that can be monitored for stream quality and health, along with a full set of alerts that can be acted upon to ensure the best viewer experience. There are scenarios where a source is present on a MediaLive input but the […]

New Zealand Cricket taps Imagen and AWS to score big with fans and partners

Cricket’s fanbase is burgeoning worldwide, especially with the sport returning to the Summer Games in 2028 for the first time since 1900. While the bat-and-ball game is popular in the UK, Australia, India, and South Africa, New Zealanders have also developed a passion for it, thanks to efforts by New Zealand Cricket (NZC). This governing […]

Analyze content using AWS Elemental MediaLive thumbnails with Amazon Rekognition

Amazon Web Services (AWS) recently launched a Thumbnail Image Preview feature as part of the AWS Elemental MediaLive service. This new feature not only provides a mechanism for quality control of live content, but also enables integration with media analysis services, like Amazon Rekognition, to automate content review and validate workflows. MediaLive automatically generates thumbnails […]

Unleash creativity at the speed of automation: Streamline story creation using AI and the cloud

This blog was co-authored by Eric Chang, Marketing Advisor, TVU Networks. Introduction Today’s audiences want engaging video content across platforms. To meet this demand, broadcasters must quickly turn live and recorded video into compelling stories. AI-powered tools like TVU Search help them efficiently find and utilize content to accelerate story creation. This blog explores how […]

Video monetization with Amazon IVS

Live video streaming is increasing globally, and more companies now offer this interactive format to users across a multitude of industries. According to Statistita, online video recorded an audience reach of around 92 percent among internet users worldwide in the first quarter of 2023. Amazon Interactive Video Service (Amazon IVS), a managed service that enables […]

How FOX teamed up with AWS for AI-powered highlights

Groundbreaking Recap Feature, Catch Up With Highlights, Built with Amazon Media Replay Engine (MRE) With the digitization and continued advancement of broadcast delivery technology, sports fans have come to expect a dynamic viewing experience. Whether streaming a game live or recording to view on-demand, audiences are increasingly looking for standout elements in the coverage of […]

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 […]

Nippon Professional Baseball image.

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 […]