AWS Media Blog

Category: Amazon Rekognition Video

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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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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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 […]

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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) […]

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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 […]

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How-to: Capturing and amplifying user engagement through real-time sentiment analysis

Often times in the evening, I come across a random television commercial that has nothing to do with my interests and it totally missed the mark. Several weeks back, I began thinking, what if there was a way for advertisers to be able to dynamically adjust content based on how I was feeling? What if […]

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Guest post from Dalet Digital Media Systems: Making media businesses smarter: AI, Cloud and Workflow Orchestration

By Arnaud Elnecave, VP Marketing, Dalet In today’s fast-paced and ultra competitive media landscape, the ability to respond rapidly to evolving consumer demands and grasp opportunities for new revenue forms as they arise is key to sustainable success. For most organizations, this mandate for greater business agility drives a direct need for a deep transformation […]

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Build an automatic alert system to easily moderate content at scale with Amazon Rekognition Video

Introduction There has been a steep increase in people creating videos, spending time watching videos, and sharing videos. Most of the videos created today are user-generated content, but publishing this raw content comes with risk. To help ensure a positive website experience for customers by removing inappropriate or unwanted content, companies need a scalable content […]

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

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 need to sit through hours of game tape to find the specific moments of that […]

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