Content Localization on AWS version 1.0.0

This is the first major version release of the Content Localization on AWS solution implementation!

What's Changed

Alot of clean up the project and get it ready for future iterative development.

• Name of project is "Content Localization on AWS"
• Use the correct solution id in the one click deploy
• Ensure Workflow and Operator keys are set in elasticsearch data
• add sample curl commands for workflow execution
• update copyright statements in all the files
• update kibana instructions by
• Add polly to workflow configuration options
• Replace ElasticSearch with OpenSearch
• Update templates for AWS Solutions
• upgrade npm packages
• Resolve lint warnings
• Update 3rd party packages in NOTICE

Some Bug fixes

• Fix UI errors in Upload
• Fix OpensearchNodeSize parameter to CloudFormation in GitHub actions
• fix video load error ll/223

Full Changelog: v0.1.0...v1.0.0

Content Localization v0.1.0

This release contains the code published for v0.1.0 of the AWS Content Localization solution

Content Localization v1.0.6 (Alpha 6)

Minor update

Fix one-click deploy
Security patching

Content Localization 1.0.0-alpha.3

Rename to content-localization in code
Merge with media-insight UI

• player speed control
• defect fixes
  Refactoring and defect fixes

Content Localization 1.0.0-alpha.2

Features

• Add Parallel Data input for Translations
• Update compatible MIE version to 2.0.4

Refactoring and defect fixes

• Remove redundant operators and stages from content localization MIE workflow

Infrastructure

• Automation for pull requests using GitHub Actions

VOD Localization Application version 1.0.0-alpha.1

Welcome to the first pre-release of the VOD Localization Application built on MIE!!!

With this sample application you will find an automated workflow for creating transcriptions, subtitles, translations and alternative language audio tracks for your video content.

You can improve the accuracy of the outputs of the workflow in a couple of ways:

1. Edit the outputs and save them, triggering re-generation of downstream outputs with your corrections.
2. Save the corrections you made as Amazon Transcribe Custom Vocabularies and Amazon Translate Custom Terminologies. This will help improve the quality of the machine generated results on similar content. And, hopefully save you work in editing the next time around!

Why is this an Alpha release?

The functional roadmap for the application is still in early stages. You may notice some changes, especially in the computer vision analysis and the layout of the UI as we experiment and make improvements.