Streamline Video Understanding with Azure Video Indexer

Azure Video Indexer is a powerful tool that can extract insights from video content, making it easier to understand and work with. It can analyze videos in just a few minutes, identifying key concepts, entities, and actions.

This tool is particularly useful for content creators and marketers who need to quickly identify the most relevant parts of a video. By using Azure Video Indexer, they can save time and resources that would be spent manually reviewing and annotating video content.

With Azure Video Indexer, users can also automatically generate transcripts, captions, and translations for their videos, making them more accessible to a wider audience.

Getting Started with Azure AI Video Indexer is a breeze.

You can learn how to get started with Azure AI Video Indexer by following the official documentation.

First, you'll need to sign up for an Azure account if you haven't already.

Once you have an Azure account, you can access the Azure AI Video Indexer service and start exploring its features.

To get started with Azure AI Video Indexer, you'll need to upload a video to the service.

The video you upload can be in various formats, including MP4, AVI, and more.

Azure AI is a powerful tool that helps with video analysis and indexing. It's part of the Azure platform, which means you can easily integrate it with other Azure services.

Azure AI Video Indexer is a specific feature that allows you to analyze and index your videos. This feature is what makes Azure AI so useful for video analysis.

With Azure AI, you can automatically transcribe speech, detect objects and people, and even identify text in your videos. This can be a huge time-saver, especially if you have a large library of videos to work with.

You can learn more about Azure AI Video Indexer features and capabilities by checking out the official documentation.

Azure Video Indexer's audio features are a game-changer for content creators and analysts alike. With its robust capabilities, you can extract valuable insights from your video and audio files.

You can retrieve partial results for audio and video models when indexing by one channel. This means you can still get some useful information even if you're working with a single audio track.

The audio models in Azure Video Indexer can extract keywords from speech and visual text. This is a great way to identify key phrases and topics in your content.

Here are some of the audio features you can use:

These features can help you better understand your content and its audience. By extracting keywords and sentiments, you can refine your message and improve engagement.

Azure Video Indexer offers a range of video models that can be used to extract AI-based insights from videos. These models can detect and group faces appearing in the video, identify over 1 million celebrities, and even extract text from images using Optical Character Recognition (OCR).

The video models also include features like scene segmentation, shot detection, and black frame detection, which can help identify changes in the video content. For example, the scene segmentation feature determines when a scene changes in video based on visual cues.

Some of the key video models available in Azure Video Indexer include:

These models can be used to build an AI-powered video analytics solution, allowing developers to quickly extract actionable insights from videos.

Azure AI Video Indexer offers a wide range of models for video and audio analysis. These models can be categorized into video models and audio models.

Video models can detect and group faces appearing in a video, identify over 1 million celebrities, and train a model for a specific account to recognize faces. They can also extract thumbnails for faces, detect visual objects and actions, and identify scenes and shots.

Some video models can even detect rolling credits, editorial shot types, and observed people in a video. They can also detect objects, sates, and textual logos.

Audio models, on the other hand, can convert speech to text in over 50 languages, identify the dominant spoken language, and create closed captioning in three formats. They can also detect noise, reduce it, and extract keywords from speech and visual text.

Here are some of the key video and audio models offered by Azure AI Video Indexer:

You can convert speech to text in over 50 languages with Audio Transcription, which also allows extensions.

The Audio Indexer can automatically detect the dominant spoken language, although if it can't be identified with confidence, it assumes the language is English.

For multi-language speech identification and transcription, the Indexer identifies the spoken language in different segments from audio and combines the transcription back into one unified transcription.

Transcript customization, or CRIS, trains custom speech to text models to create industry-specific transcripts.

The Indexer can also detect explicit text in the audio transcript and provide statistics for speakers' speech ratios.

Here are the key features for getting a transcript:

Before you can do anything with your video, you need to wait for indexing to complete. This process can take some time, but it's essential for getting the most out of your video analysis.

Indexing starts immediately after uploading your video to Azure Video Indexer, and you can stop here if you want, but there's more to explore. The indexing process creates a transcription of your video, which you'll want to access soon.

To check on the status of your indexing, you'll need to make another API call to the Videos endpoint. You can reference the API result captured in the $uploadedVideo variable to build the correct URI.

A while loop can be used to continually check the state property until it's no longer in the Uploaded or Processing state. This is the indication that indexing is complete.

API and REST can be a bit overwhelming, but don't worry, I've got you covered. The Video Indexer REST API follows a simple pattern: an initial request to the AccessToken method to obtain an access token, and subsequent requests use the access token to authenticate when calling REST methods to work with videos.

To start working with the Video Indexer REST API, you'll need to replace placeholders in a PowerShell script with your account ID and API key values. The script is located in the 06-video-indexer folder, and it invokes two REST methods: one to get an access token, and another to list the videos in your account.

The location for a free account is “trial”, but if you have an unrestricted Video Indexer account, you can change this to the location where your Azure resource is provisioned. For example, if your Azure resource is in “eastus”, you can update the script to use that location.

To run the script, save your changes and click the ▷ button at the top-right of the script pane. This will execute the script and display the JSON response from the REST service, which should contain details of the Responsible AI video you indexed previously.