Azure Video Indexer

Introduction

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. In addition, the new GPT-4 and ChatGPT (gpt-35-turbo) model series have now reached general availability. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation.

You can find more details and the supported operation onhttps://www.qibb.com/catalog/azure-video-indexer-nodes/.

What is Azure Video Indexer?

Azure Video Indexer leverages AI to extract rich metadata from video content, including transcripts, keywords, topics, people, and emotions. The service enables users to search, browse, and discover video content more efficiently, unlocking new possibilities for media production, advertising, and customer engagement.

Use cases and applications:

• Media and entertainment: Azure Video Indexer helps media companies manage their video archives, streamline content discovery, and create engaging user experiences.

• Advertising: By extracting key moments and topics from videos, Azure Video Indexer enables ad insertion and targeting, increasing the effectiveness of video campaigns.

• Corporate training: With Azure Video Indexer, companies can analyze and tag training videos, making them more searchable and accessible to employees.

How to get started with Azure Video Indexer integration

Before you begin, ensure that you have the necessary permissions to perform the integration. Follow the steps below to get started:

1. Obtain your Location, Account ID, and Subscription Key for authentication purposes.

2. Refer to the Regions in which Azure Video Indexer is available page on the Azure Video Indexer website to learn more about supported regions.

3. Log in to your Azure Video Indexer account and navigate to the User accounts page to find your Location and Account ID. Please note that the Location should be in JSON format, for example, "eastus" instead of "East US".

   

4. Your Account ID can be found under your username and location information. You can also click on the Settings button to access your Account ID.

5. Your Subscription Key can be found on the User Profile page. Click on https://api-portal.videoindexer.ai/profile to access the page.

   

6. Open the qibb Workflow Editor and click on the Node Catalog button in the right sidebar. Install the Azure Video Indexer node by clicking on the + button.

7. Drag and drop the Azure Video Indexer Auth and Azure Video Indexer Client nodes from the left sidebar to your workflow and connect them.

8. Enter your credentials in the Location, Account ID, and Subscription Key fields, and start using the integration!

   

Additional resources:

• Azure Video Indexer documentation: https://docs.microsoft.com/en-us/azure/media-services/video-indexer/

• Azure Video Indexer support: https://azure.microsoft.com/en-us/support/

Importing flow examples of a node

Once you've successfully installed a node from the qibb catalog, you can easily import example flows that showcase how the nodes can be used. These example flows are directly accessible within the Flow Editor and are designed to guide users with helpful hints, including how to configure mandatory parameters and credentials.

Here's how to import examples:

1. In the top right corner of the Flow Editor, click on the menu icon.

2. Select Import to open the Import Dialog.

3. Click on the Examples tab.

4. Choose an example from the list.

5. Confirm your selection by clicking on the Import button.

By following these steps, you are now ready to make basic API calls using the provided examples. For further exploration of what’s possible, you can find more complex examples in the Flow Catalog.