AWS for M&E Blog

Category: AWS Lambda

Revolutionizing fan engagement: Bundesliga generative AI-powered live commentary

Many football (or soccer, in the United States) fans follow teams and leagues from around the world, regardless of their native country or continent. What truly matters is their love for the game and their devotion to specific teams or players abroad. However, fans may encounter difficulty accessing live game updates for their favorite foreign team, […]

How Warner Bros. Discovery uses audio analysis to improve data accuracy and enrich the fan experience

This blog is co-authored by Steve Cockett, Sports Data Adviser – Tech, at Warner Bros. Discovery and Andrea Fanfani, Principal Product Manager – Tech, at Warner Bros. Discovery. In this blog post, we explain how Warner Bros. Discovery (WBD), a global media and entertainment company, used serverless components from Amazon Web Services (AWS) to improve […]

Generative AI assists creative workflows with text-guided inpainting and outpainting using Amazon Bedrock – Part 2

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. […]

Enabling publishers to customize content while maintaining editorial oversight with Amazon Bedrock

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 […]

Ensuring media authenticity, traceability, and integrity by running C2PA on AWS

Tracking content provenance is a necessity for media companies, particularly with the advent of generative artificial intelligence (generative AI). Provenance metadata is critical for the following reasons: Ensure that content production and distribution is consistent with digital rights Track ownership so that content is stored and monetized properly Combat the spread of misinformation by providing […]

Leveraging Customer-Managed Fleets with AWS Deadline Cloud

AWS Deadline Cloud is a scalable, fully managed render scheduler from Amazon Web Services (AWS) for teams that need a better way to create ground-breaking visual content. To power the elastic workloads creative teams require, Deadline Cloud organizes Workers into Fleets. The Workers run Jobs given to them by Queues, which are collections of Jobs […]

Identifying music in audio files and streams on AWS

In today’s digital age, where music is readily accessible through a myriad of platforms and devices, the ability to accurately identify songs is important for customers across many industries. From entertainment and broadcasting to streaming services and beyond, there is a need for accurate music identification solutions in order to detect unauthorized uses of content, […]

On-screen computation time using machine learning tools from AWS

For linear broadcast television, it is common to rerun successful programs to fill available time slots. Often, episodes may need to be edited down and, at times, entire scenes may need to be removed to conform to an allotted time slot. This creates complexity because under a particular type of contract, artists have performance rights […]

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 […]

Quality metrics for live streaming video

In the realm of digital streaming, efficient video encoding is critical in achieving optimal performance and cost-effective transmission to end-user devices. However, video encoding introduces the potential for quality loss, leading to a subpar end-user experience. This concern is further exacerbated in the realm of live streaming, where latency is a critical factor, and only […]