Table of Contents
To process a video using Azure Video Indexer, you can leverage its powerful features to extract insights, generate metadata, and improve video accessibility. In this article, we will explore the steps involved in designing and implementing a Microsoft Azure AI solution using Azure Video Indexer.
Now that you have set up Azure Video Indexer, let’s proceed with uploading and processing a video:
https://api.videoindexer.ai/{location}/Accounts/{accountId}/Videos?accessToken={accessToken}&name={videoName}&privacy={privacy}
endpoint, replacing the placeholders with appropriate values.
https://api.videoindexer.ai/auth/{location}/Accounts/{accountId}/AccessToken?allowEdit=true
endpoint, passing the location and accountId in the URL.
Once the video has been uploaded and processed, it’s time to retrieve the insights generated by Azure Video Indexer:
https://api.videoindexer.ai/{location}/Accounts/{accountId}/Videos/{videoId}/Index?accessToken={accessToken}
endpoint, replacing the placeholders with the appropriate values.
Azure Video Indexer provides the ability to customize AI models for specific scenarios. This step is completely optional but can be valuable if you have unique requirements. Follow these steps to customize the AI models:
That’s it! You have now learned the process of using Azure Video Indexer to process a video, extract insights, and improve video accessibility using AI. Azure Video Indexer offers powerful capabilities to enhance your videos and unlock valuable information.
Feel free to explore the Azure Video Indexer documentation for detailed information on the API endpoints, supported features, and customization options.
Correct Answer: True
a) MP4
b) MOV
c) AVI
d) All of the above
Correct Answer: d) All of the above
Correct Answer: True
a) Text recognition
b) Sentiment analysis
c) Visual keywords extraction
d) All of the above
Correct Answer: d) All of the above
Correct Answer: True
a) Optical character recognition (OCR)
b) Speaker indexing
c) Scene detection
d) Audio transcription
Correct Answer: d) Audio transcription
a) Azure Logic Apps
b) Azure Functions
c) Power BI
d) All of the above
Correct Answer: d) All of the above
a) By analyzing the audio and extracting spoken words
b) By identifying visual objects and scenes
c) By applying machine learning techniques to understand context
d) All of the above
Correct Answer: d) All of the above
a) Face detection
b) Sentiment analysis
c) Speaker indexing
d) Object recognition
Correct Answer: c) Speaker indexing
Correct Answer: True
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