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Rich Media Analytics Demo

What is this?

This demo project shows you how to use Haven OnDemand Audio/Video Analytics, Text Indexing and Text Analysis APIs to build a rich media analytics application with the following features:

  • Transcribe speech-to-text from audio and video files using one of more than 20 language models
  • Allow users to search for a word or phrase using natural language from any media content within a large media gallery.
  • Play a media content with stylish synchronized transcript.
  • Enable users to interact with the media content from the transcript by double click on any word from the text to fast-forward or fast-backward to the selected word.
  • Highlight positive and negative human opinions in the transcript text based on sentiment analysis of transcripts.
  • Highlight key concepts of a selected media content and allow users to easily navigate to related information from Wikipedia and online news channels.
  • Browse and see summaries of famous people, famous places and famous companies mentioned in the transcript.

Supported platforms

  • Android.
  • iOS - Swift
  • Windows Universal 8.1 - C#

Contribute to this open source project!

We encourage you to fork the project and further develop it and submit a pull request with new features

  • Fork it
  • Create your feature branch ( git checkout -b my-new-feature )
  • Commit your changes ( git commit -am 'Add some feature' )
  • Push to the branch ( git push origin my-new-feature )

Remember to remove your API key in from code before publishing your contribution

License

Licensed under the MIT License.

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  • C# 66.6%
  • Swift 18.9%
  • Java 14.2%
  • Other 0.3%