AWS for M&E Blog

Tag: Amazon Rekognition How-To

Automate broadcast video monitoring using machine learning on AWS  

Monitoring service providers for broadcast and over-the-top (OTT) livestreams perform a large number of quality checks. These range from low-level signal errors to high-level issues like content errors. Traditional live media analyzer software focus on quality checks at the signal level, such as the ETSI TR 101 290 Priority 1 and 2 checks. Higher-level quality checks, such as […]

[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 […]

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 […]

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 […]