AWS Media Blog

Category: Amazon Comprehend

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 […]

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 […]

Learn more: M&E chalk talk presentations from AWS re:Invent 2019

re:Invent Chalk Talks are a highly interactive content format, beginning with a short lecture delivered by an AWS expert, followed by a 45- or 50-minute Q&A session with the audience. While these sessions are not recorded, we wanted to share the decks with you as they contain valuable technical details. If there are any topics […]

New this Is my architecture: Media analysis solution

Join us to discuss a turn-key solution created by AWS for Media Analysis. The Media Analysis Solution uses advanced ML services such as Amazon Transcribe, Amazon Comprehend, Amazon Rekognition and others to understand and interpret what is happening in a video clip. The analysis of this content then leads to a set of time-coded meta […]

The new world of watching machine learning-enhanced streaming sports

Gone are the days when watching sports on television meant turning on the one and only broadcaster which owned the rights to televise an event. Several sports-specific OTT offerings have launched in the last year with broadcasters realizing that sports are the last bastion of streaming video for which viewers are willing to pay a […]

Start building: Make content archives searchable by on-camera talent, dialog, activity, and more with this new solution from AWS

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. For news, sports, and other content owners with vast media archives, your content library is only as valuable as it is discoverable and searchable. For example, a sports producer looking to create a highlight reel around a specific player would […]

Webcast on-demand: Media processing workflows at high velocity and scale using orchestration and machine learning

Click here to watch the on-demand version of Media Processing Workflows at High Velocity and Scale using Orchestration & Machine Learning Level 200 | Use Cases How To Content owners, creators and publishers use media supply chains to package and process digital video content and programming from content producers so it can then be delivered to local affiliates […]