Architecture Overview

Deploying the Media2Cloud solution builds the following environment in the AWS Cloud.

Figure 1: Media2Cloud architecture on AWS

The AWS CloudFormation template deploys three workflows: one that ingests source videos and images, one that analyzes and extracts machine learning metadata from your content, and one that creates and manages labeling jobs. When you upload a video or image to the ingest Amazon Simple Storage Service (Amazon S3) bucket, the ingest workflow creates a standardized proxy file and thumbnails for analysis. The analysis workflow analyzes the videos and images and extracts metadata using AWS-native AI services. The labeling workflow uses Amazon SageMaker Ground Truth to create labeling jobs for your workforce that are used to tag faces to your face collection.

The ingest Amazon S3 bucket has an Amazon S3 lifecycle policy that allows the solution to move uploaded videos and images to Amazon Simple Storage Service Glacier (Amazon S3 Glacier) for archiving.