AWS Media Blog

Category: Artificial Intelligence

AWS Partner TrackIt streamlines the content curation process with AI Video Reviewer

Authored by Brad Winett, President and Partner at TrackIt. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. As the availability and demand for media content continues to explode, companies that deal with large volumes of media assets […]

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In this diagram, two types of feeds are processed. First, the live RTMP feed from the game court is processed by the media pipeline using AWS Elemental MediaLive and MediaConvert services to create video clips. Second, Hawk-Eye and statistical feeds are pushed into Amazon Kinesis streams. Lambda processes these events and stores them in Aurora Serverless Postgres database.

How Infosys reimagines the game of tennis using AWS

This post has been co-authored by Rohit Agnihotri, Chief Architect of Infosys Tennis Platform, and Satheesh Kumar, Principal Solutions Architect at AWS Infosys is a global leader in next-generation digital services and has developed innovative solutions to engage stakeholders in the sports ecosystem. Infosys is the official digital innovation partner for major tennis events like the […]

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Sample high-level architecture overview

“What was that?” Increasing subtitle accuracy for live broadcasts using Amazon Transcribe

Including accurate subtitles for your live content is crucial for an improved viewer experience and to meet accessibility requirements. While most transcriptions for live broadcast are still generated by human stenographers, these processes scale poorly and can be expensive. Amazon Transcribe, which automatically converts speech to text, is an automatic speech recognition (ASR) service that […]

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Best Practices for Implementing a Media Asset Management (MAM) Solution on AWS

Media & Entertainment (M&E) customers seeking to modernize their Media Asset Management (MAM) on Amazon Web Services (AWS) have questions to consider before getting started: Should they build their own solution or invest in a 3rd party system? How can they best leverage AWS services to get the most from a MAM in the cloud? […]

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Democratize documentation summarization with Hugging Face on Amazon SageMaker

Introduction As the media and entertainment (M&E) industry evolves, companies within the space are finding more opportunities to use artificial intelligence (AI) and machine learning (ML) to deliver a better customer experience. Customer acquisition, retention, and engagement are key areas where AI/ML technologies are poised to deliver significant value. With increasingly complex content consumption patterns, […]

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A view of the Aggregated AI/ML detections on the Media2Cloud Stats page.

Media intelligence just got smarter with Media2Cloud 3.0

We are happy to announce the official release of Media2Cloud 3.0. This release helps AWS customers simplify and expedite their media migration workflow into AWS. It provides a framework to implement artificial intelligence and machine learning (AI/ML) to create frame-level descriptive metadata about content. This new version of Media2Cloud still includes the features that customers have […]

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Use machine learning to filter user-generated content and protect your brand

The use of artificial intelligence (AI) helps speed up many operations that were unthinkable until some time ago. In many cases, it is necessary to understand the content of your image archive or the dialogue in an audio or video file to intercept content deemed harmful, dangerous, or out of place for a given situation […]

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re:Invent 2021 releases and launches for M&E workloads

With more than 50 launches and announcements of new services and major features during AWS re:Invent 2021, the following is a tailored list of those most relevant for media and entertainment (M&E) workloads. Watch the full Adam Selipsky Keynote here for even more announcements and information. AWS Private 5G for on-set connectivity AWS Private 5G is […]

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discovery+ uses Amazon Personalize to combat decision fatigue

Discovery, Inc., a multinational mass media company, has a colossal library available to stream. So much so, that customers encountered “decision fatigue”. The company found that too many choices can become overwhelming, and can take away from the viewer experience. Discovery, Inc. responded to this challenge by building discovery+, a streaming service using Amazon Personalize. […]

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Stream tennis matches through AWS Elemental MediaLive and generate real-time replays with Amazon Rekognition

UPDATE: A new open source solution called Media Replay Engine (MRE) was released to the public that provides a scalable plugin-based framework designed to process live video sources and generate clips and highlights that support several linear and digital channel use cases. You can find it here: https://github.com/awslabs/aws-media-replay-engine. Broadcasters are increasingly looking to the cloud […]

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