AWS for M&E Blog
Category: Compute
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 […]
Running scalable, cost-effective Edit in the Cloud workloads on Amazon FSx for Windows File Server
As the creative landscape has evolved over the last few years, content businesses have needed to adapt to support globally dispersed workforces, to prioritize creativity over technology, and to embrace a shift towards sustainability. Amazon Web Services (AWS) helps businesses meet these challenges by offering services that allow customers to Edit in the Cloud. By […]
Super slow motion video creation using generative AI on AWS
Slow motion video is an integral part of media productions, particularly sports broadcasting, that provides viewers with an enhanced experience. Capturing action in slow motion allows the audience to see details not possible to observe at full speed. However, recording real-time video at high frame rates requires expensive specialized cameras. Even then, extreme slow motion […]
Highlighting modern innovations in cloud-based broadcast production at Inter BEE 2023
This blog was co-authored by Daniel Kamhaji, Associate Product Manager & Product Application Engineer, Waves Audio Ltd. Introduction In this blog post, we delve into innovations in cloud-based broadcast production as showcased by Amazon Web Services (AWS) Japan at Inter BEE, held at Makuhari Messe November 15—17, 2023. We explore the technologies and collaborations shaping […]
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 […]