AWS for M&E Blog

Category: Amazon Rekognition Video

Streamline content preparation and quality control for VOD platforms using Amazon Rekognition Video

Last year, we launched Amazon Rekognition video segment detection, an API that makes it easy for media customers to automatically detect frame accurate end credits, black frame segments, shot changes, and color bars in video files using machine learning (ML). Today, we are announcing support for four new types of segments (opening credits, content segments, […]

How iconik’s media management hub and AI accelerate remote collaboration

Authored by Parham Azimi, CEO at iconik. 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.   Video is no longer just for the media and entertainment industry. Today, prominent businesses in every vertical are becoming “media companies” […]

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 […]

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 […]

[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 […]

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

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]

New – Streamline media analysis tasks with Amazon Rekognition Video

Amazon Rekognition Video is a machine learning (ML) based service that can analyze videos to identify objects, people, faces, text, scenes, and activities, as well as detect any inappropriate content. Starting today, you can streamline media analysis tasks by automating the detection of black frames, end credits, shot changes, and color bars using Amazon Rekognition […]

Using ML in the media supply chain to optimize content creation: How to improve efficiency for operations teams and automate workflows with ML metadata

Co-authored with Rose Sponder, Director of Marketing at SDVI 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.  The Challenge: Use ML to assess and validate incoming content while helping manage re-versioning and distribution tasks. Machine Learning (ML) […]

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 […]

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Extracting intelligence from corporate streaming using machine learning

With nearly one million minutes of video content forecasted to pass through global IP networks each second by 2021, ensuring that video traffic — especially video produced and consumed by company employees — is valuable, actionable, and personal becomes critical to that company’s success1. Companies today create live and on-demand videos for many purposes, including […]