AWS for M&E Blog

What is IMF? How does it differ from traditional files? The Interoperable Master Format (IMF) is a standardized system for organizing and sharing digital content, which brings significant benefit to the media and entertainment (M&E) industry. It works as a universal framework that simplifies distribution of file-based audio and video across different platforms, devices, and […]

Traditional on-premises render farms often pose significant operational challenges, including hardware procurement, software licensing management, and scalability constraints. However, in the rapidly evolving world of visual effects (VFX) and animation, efficient rendering pipelines are vital to meeting tight deadlines and delivering high-quality content. This is where AWS Deadline Cloud comes into play, offering a fully […]

Any industry that relies on technology inherently deals with disruption, and this includes the media and entertainment. What’s less definitive is how frequently waves of change occur and what impact they may have. Each new technological advancement can present challenges and opportunities, a theme that was readily apparent at a recent Amazon Web Services (AWS) for Media & Entertainment Symposium panel featuring VFX and animation industry leaders. The group came together to discuss the most pressing industry-wide disruptions, including the rapid emergence of generative artificial intelligence (AI), and predictions for the year ahead.

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.

Introduction The quantity of video content is expanding rapidly, driven by both professional publishers and the contributions of social media users. As users increasingly demand content that resonates with their interests, the role of recommendation engines becomes critical. For video, these engines rely on rich meta-information to deliver relevant suggestions. However, the sheer volume of […]

More than 61,000 media and entertainment (M&E) industry professionals from 163 countries gathered in Las Vegas, Nevada, earlier this month to network, explore emerging technologies, and discuss the trends shaping the future of content production, delivery, and monetization at NAB Show 2024. Amazon Web Services (AWS) pulled out all the stops for the show, including […]

Live sports production has followed the same formula for decades. To send broadcasts out to fans, production teams have relied on massive production trucks to distribute game feeds from arenas to a fixed control room with workstations and production gear. The National Hockey League (NHL), one of the biggest sports leagues worldwide, is shaping the […]

Warner Bros. Discovery (WBD) Sports Europe, a group of television networks including TNT Sports and Eurosport, broadcasts a wide range of sports coverage across the continent, including some of the world’s most watched events. Starting several years ago, WBD Sports decided to take bold steps to migrate its legacy media workflows to the cloud, which […]

Generative AI offers exciting new possibilities for creatives. In this blog series, we explore different generative AI models for image editing. In Part 1, we developed an AI-powered eraser using Segment Anything Model (SAM) and Big LaMa model hosted on Amazon SageMaker. In just a few clicks, we can remove any unwanted objects from an image. […]

Reader engagement is key for any publisher and directly correlates to revenue growth. One of the best mechanisms to increase reader engagement is personalization. Prior to the mainstream availability of generative AI foundation models (FMs), personalization was, and still is, achieved by understanding patterns in reader behaviour and surfacing content relevant to them. Amazon Bedrock […]