AWS for M&E Blog
Category: Amazon Simple Queue Service (SQS)
CoStar Group reduces costs by 80% using AWS Elemental MediaConvert
This blog is co-authored by Mark Osborn, Principal Software Engineer at CoStar Group. Seeking greater control over their video transcoding capabilities while reducing costs and enhancing quality for their customers, CoStar Group embarked on a transformative solution. Let’s dive into how CoStar brought their video transcoding and distribution backends in house using Amazon Web Services […]
Transforming sports storytelling with generative AI on AWS
Sports broadcasters face an ongoing challenge: how to deliver compelling stories while managing vast amounts of real-time and historical data during live events. For mountain bike racing commentators, this means processing information about hundreds of athletes, multiple race configurations, and constantly changing conditions—all while keeping viewers engaged in real-time. We’re excited to share how Warner […]
Using Amazon S3 Vectors (preview) to semantically search using a media lake on AWS
Many media organizations face challenges in managing and discovering content across their digital libraries. Relying on manual searches of file names, or folder structures, can result in duplicated work and underutilized assets—impacting productivity and content monetization opportunities for re-using and creating content. The emergence of AI-powered semantic search introduces complexity and cost considerations for media […]
Introducing: Guidance for a media lake on AWS
Many companies struggle to manage their vast collections of digital media files stored across multiple Amazon Simple Storage Service (Amazon S3) buckets. This scattered storage approach can create significant challenges for organizations. Searching for specific content can be difficult and time-consuming (with organizing files effectively becoming a complex task) making extracting the full value from […]
Improve operational processes for AWS Elemental MediaConnect using AWS CDK
Managing encrypted Amazon Web Services (AWS) Elemental MediaConnect entitlements across AWS accounts can be challenging, particularly when dealing with secret strings and upstream changes. We will demonstrate, with code examples, how AWS Cloud Development Kit (AWS CDK) can be leveraged to create a pattern for securing the sharing of secret strings. It will also provide […]
Automating audio editing and transcoding using AWS
Audio editing and transcoding are crucial processes for content creators, broadcasters, and media professionals who need to convert audio files from one format to another and automate basic audio editing tasks. With Amazon Elastic Transcoder scheduled for deprecation, in November, 2025, it is important to understand the alternatives for implementing audio-only workflows in Amazon Web […]
Migrating workflows from Amazon Elastic Transcoder to AWS Elemental MediaConvert
As media content continues to grow in complexity and volume, many organizations find themselves seeking more scalable and cost-effective transcoding solutions. To combat these challenges consider Amazon Web Services (AWS) Elemental MediaConvert (MediaConvert), a powerful service that addresses the evolving needs of video processing professionals. If you’re currently using Amazon Elastic Transcoder (Elastic Transcoder), you’ll […]
Dynamically configuring job settings with AWS Elemental MediaConvert
Businesses in the media industry often have supply chain systems where their upstream vendors (such as content creators or production companies) receive and ingest large media files. These media files come in a variety of file formats, and the individual file sizes often reach hundreds of gigabytes in size. After the media files are ingested […]
F1 revs up race day broadcasts with real-time data storytelling
Enhanced story identification enables production team to create a more immersive fan experience. On a FORMULA 1® (F1) race day, the broadcast control room is pressure-packed as production personnel seek to keep pace with all the action on the track and behind the wheel to relay impactful stories to viewers around the world. On track, […]
How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama
In this blog post, we explore how Swimming Australia uses AWS Panorama from Amazon Web Services (AWS) to perform real-time computer vision (CV) inference at the edge with state-of-the-art computer vision models. We describe how to integrate an end user application with AWS Panorama along with the rationale for design strategies and their impact. This solution features services such as AWS Panorama for machine learning (ML) at the edge, Amazon Simple Queue Service (Amazon SQS) for messaging, Amazon Kinesis Video Stream for video streaming, and AWS App Runner for the end user application.