As the media and entertainment industry modernizes, companies are leveraging private and public cloud technology to meet the ever-increasing demands of consumers. Scality Zenko can be integrated with existing public cloud tools, such as Microsoft Azure’s Video Indexer, to help “cloudify” media assets.
Azure’s Video Indexer utilizes machine learning and artificial intelligence to automate a number of tasks, including face detection, thumbnail extraction and object identification. When paired with the Zenko Orbit multi-cloud browser, metadata can be automatically created by the Indexer and imported as tags into Zenko Orbit.
Check out the demo of Zenko Orbit and Video Indexer to see them in action. A raw video file—with no information on content beyond a filename—is uploaded with Zenko Orbit, automatically indexed through the Azure tool, and the newly created metadata is fed back into Zenko as tags for the video file. Note that Orbit also supports user-created tags, so more information can be added if Indexer misses something important.
Why is this relevant?
- Applications don’t need to support multiple APIs to use the best cloud features. Zenko Orbit uses the S3 APIs and seamlessly translates the calls to Azure Blob Storage API.
- The metadata catalog is the same, wherever the data is stored. The metadata added by Video Indexer are available even if the files are expired from Azure and replicated to other locations.
Enjoy the demo:
Don’t hesitate to reach out on the Zenko Forums with questions.
