Category: Artificial Intelligence

In this blog post, we explore how Swimming Australia uses AWS Panorama from Amazon Web Services (AWS) to perform real-time computer vision (CV) inference at the edge with state-of-the-art computer vision models. We describe how to integrate an end user application with AWS Panorama along with the rationale for design strategies and their impact. This solution features services such as AWS Panorama for machine learning (ML) at the edge, Amazon Simple Queue Service (Amazon SQS) for messaging, Amazon Kinesis Video Stream for video streaming, and AWS App Runner for the end user application.

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 […]

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. […]

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 […]

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 […]

Catching the action of a European football (or soccer) match is easy today, with no shortage of available streaming platforms and services to watch players from all leagues go head-to-head. Yet, when it comes to other sports—like handball, basketball, volleyball, hockey, and table tennis—fans have fewer options. To level the playing field for these enthusiasts, […]

We are pleased to announce the official release of Guidance for Media2Cloud on AWS version 4.0. This release offers enhancements that assist Amazon 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 […]

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 […]

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 […]

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 […]