AWS Media Blog

Category: Artificial Intelligence

Maximize the potential of AI for media workflows with Accurate.Video from Codemill

Authored by Neil Anderson, Project Consultant at Codemill. 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.   Over the last year, consumer demand for video content has exploded. According to Research and Markets, the global video streaming […]

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Discovery, Inc. is serving up content for the consumer with Food Network Kitchen

Today, Discovery Inc. is bringing some much-needed culinary camaraderie into kitchens around the world through Food Network Kitchen. The subscription-based app offers home-bound foodies the chance to cook alongside celebrity chefs. Food Network Kitchen offers a hands-free cooking experience via Amazon’s voice technology and access to a large selection of live and on-demand cooking classes, […]

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Watch now: Empowering users with natural language search featuring Dow Jones

Content creators face the ever-increasing challenge of cataloging content in a way that is easily accessible by users. Providing content relevant to a user’s search from vast archives of content requires a system that automatically provides the best match from the most relevant content. Using the Amazon Kendra machine learning service, the Wall Street Journal […]

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Identifying opportunities to place overlay advertisements in video content

Overlay advertisements (also called banner advertisements) are often used during a broadcast to promote related or upcoming shows, or for general third-party advertisements. They are typically displayed in the lower third of the screen (overlapping the broadcast video), and disappear after a few seconds. Although these can be effective tools for building awareness about new […]

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Amazon Transcribe and email integration

Amazon Transcribe makes it easy for developers to add speech to text capabilities (also known as ASR) to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used by business intelligence applications. This post shows how an audio […]

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[Updated 1/4] re:Invent Week 1: Watch Media & Entertainment sessions on-demand

The following is a small sample of the sessions that happened during week 1 of re:Invent 2020 we think M&E Attendees will appreciate; we also have recaps of week 2 and week 3. Click the links provided under the session details to watch on-demand. To see what’s coming in the next weeks and get more […]

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Successful innovation for ESSENCE as Starchive and AWS help deliver the 2020 ESSENCE Festival of Culture

This post is co-authored by Jack Wenzinger, AWS M&E Partner SA, Ken Shek, Sr. ML Specialist SA, and Richard Averitt, CEO of Starchive. 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. ESSENCE Communications is a media, technology, […]

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[Updated 3/15/2021] Inserting ad breaks into video content using Amazon Rekognition, AWS Elemental MediaConvert and AWS Elemental MediaTailor

Customers are often overwhelmed with the amount of undifferentiated heavy-lifting involved in preparing their media for monetization and streaming. The traditional ad insertion process is repetitive, error-prone, and time-consuming, and ads are inserted in a non-intrusive way so that the attention of the audience is not disturbed when presented with ad content. A cloud-based monetization […]

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Image showing AWS Content Analysis workflow

Introducing the AWS Content Analysis Solution

The AWS Content Analysis solution is a fully automated content-based video search engine. It quantifies video content using AI services from AWS for computer vision and speech analysis, then catalogs videos so users can browse video collections according to specified search criteria. This solution provides automation that can dramatically reduce the human involvement needed to catalog video archives for search.

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Workflow Diagram: Video file in S3 is processed by Amazon Rekognition. The output of segments, labels and faces is consumed by a Lambda function that creates the clip. This writes to Amazon Elasticsearch Service. AWS Elemental MediaConvert creates proxies. The user searches for clips in ES and views proxies.

Find video clips faster with Amazon Rekognition and AWS Elemental MediaConvert

News, entertainment, and daytime productions make frequent use of clips to create stories, to introduce guests, and for previews or highlights. Often there is a short time window for finding and selecting clips while a story or person is in the spotlight. This blog shows you how to find your video clips quickly from your […]

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