This solution is a development framework for applying machine learning services to media workflows. The solution’s APIs are purpose-built for applications that process videos, images, audio, and text and support AWS machine learning services for your multimedia applications. By managing workflows, this solution empowers you to build applications faster while benefitting from a robust backend framework.
This solution manages workflow orchestration and data persistence so that you can focus on applications that extract value from media or automate manual workflows.
You can extend and customize the solution to fit new use cases. Operators are generated state machines that are pre-built, but can also be extended to handle specific use cases.
Components are described by clean interfaces. Operators are small single purpose components that transform or extract metadata from media. You can define custom operators or use any of the included pre-built operators.
The diagram below presents the architecture you can automatically deploy using the solution's implementation guide and accompanying AWS CloudFormation template.
AWS Step Functions for when a user defines a new workflow using the workflow API.
An Amazon API Gateway resource for the data plane REST API.
Amazon Simple Storage Service (Amazon S3), DynamoDB, and DynamoDB Streams for media and metadata data storage.
This blog explores the Media Insights Engine solution which aims to help developers focus less on the scaffolding and more on the things that make their applications impactful.
Learn about the modular framework the Media Insights Engine is built on, as well as use cases and practical applications for this solution.