AWS for M&E Blog

Category: HAQM Rekognition

Nomalab automates ad break detection in media workflows with AWS

The Media and Entertainment industry is undergoing unprecedented transformation, with the volume and complexity of content continuing to grow at a rapid pace. To stay competitive, broadcasters and publishers must find innovative solutions to optimize their media workflows from ingest to delivery. Recognizing this challenge, Nomalab, a leading cloud-based media management platform available on the […]

Hearst Networks EMEA drives workflow transformation with SDVI and AWS

Media companies are juggling more content than ever, amidst delivery pipelines that grow increasingly complex. To better navigate changing business requirements and unify processes, Hearst Networks EMEA, one of the world’s leading media and entertainment brands, migrated its entire content supply chain (CSC) to HAQM Web Services (AWS). With the multi-stage integration well underway, the […]

Video semantic search with AI on AWS

AWS offers a comprehensive video semantic search solution that leverages AI/ML services like HAQM Bedrock, Rekognition, and Transcribe to help media customers efficiently discover, analyze, and monetize content within large video libraries.

Unlock the value of Media Archives with AWS

Efficiently managing vast media archives remains a significant challenge for content owners, particularly when faced with insufficient metadata for quick asset discovery and reuse. Traditional approaches to archive enrichment—whether through human effort and/or machine learning (ML)—often prove prohibitively expensive or time-consuming. In the following, we describe an innovative approach combining generative AI with ML to […]

Managing the history of the NFL

With such an abundance of National Footb­all League (NFL) programming available to modern fans, it’s easy to forget that coverage was once limited to game day broadcasts. Since launching in 2003, NFL Media has evolved into a sports entertainment powerhouse, publishing content through its own and partner channels, and a direct-to-consumer app. In addition to […]

Media2Cloud on AWS Guidance: Scene and ad-break detection and contextual understanding for advertising using generative AI

Overview Contextual advertising matches advertisements to the content a user consumes, creating a personalized advertising experience. It involves three key players: publishers (website or content owners), advertisers, and consumers. Publishers provide the platform and content, while advertisers create contextually tailored ads. Consumers engage with the content, and relevant ads display based on context. A challenge […]

Analyzing and tagging video for optimal ad targeting and placement

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 […]

Streamlined sports: Empowering youth athletes through live streams, highlights, and AI with IOIO and AWS

HiLYTE is an all-in-one digital platform dedicated to creating premier digital experiences through grassroots sports events and seasons. The company aims to make better technology available for all youth sporting organizations by creating contextual, personalized experiences using thousands of pieces of media. Providing an end-to-end digital ecosystem for participants and spectators in two of the […]

The next generation of media intelligence with Guidance for Media2Cloud on AWS version 4.0

We are pleased to announce the official release of Guidance for Media2Cloud on AWS version 4.0. This release offers enhancements that assist HAQM Web Services (AWS) customers in monetizing their media archives, generating content metadata more cost effectively, and leveraging generative AI to produce new kinds of content metadata. The new version of Media2Cloud still […]

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 […]