Supercharge Archive Content Discovery with ChatGPT and Azure Video Indexer

[Guest FvNeerden_MSFT]

Video has become one of the most popular forms of content on the internet, and organizations around the world are investing heavily in creating and sharing videos for various purposes, social media taking a significant share. Additionally Enterprise or educational media is becoming more professional and end users, without noticing, create content on a daily basis when you take meeting recordings into account. As the volume of video content continues to grow, it is becoming increasingly difficult to manage and search through these video archives manually. This is where Azure Video Indexer comes in – it is a powerful service that allows organizations to index their video archives and extract valuable insights from them. In this blog post, we will explore how ChatGPT can be used to enable deep search on video archives after indexing using Azure Video Indexer.

 

 

 

 

 

 

But first, what is Azure Video Indexer?

 

Azure Video Indexer is a cloud-based video indexing service that allows organizations to extract insights and metadata from their video archives. It uses artificial intelligence and machine learning algorithms to analyze video content and extract key information such as faces, emotions, objects, scenes, and speech. This information is then used to generate a searchable index of the video content, making it easier for users to search and find relevant content.

 

 

 

Using ChatGPT to enable deep search on video archives

 

Once a video archive has been indexed using Azure Video Indexer, users can use ChatGPT to search for specific content within the video. For example, a user can type a natural language query such as "Find videos that mention OpenAI" and ChatGPT will generate a response that includes a list of all the videos in the archive that match the query. ChatGPT can also be used to refine search results by asking follow-up questions such as "What does Satya say about Responsible AI principles at Microsoft?"

 

In addition to searching for specific content, ChatGPT can also be used to generate summaries and transcripts of video content. For example, a user can ask ChatGPT to summarize a transcript of the video's dialogue. This can be especially useful for organizations that need to quickly review large volumes of video content for specific information. The applications and industries are endless. Imagine how this improves editorials, content editing, content curation, accessibility and re-publication in just a few minutes. It can be used by Media & Entertainment, News, Education and any Enterprise just to name a few.

 

 

 

How can I start using ChatGPT with Azure Video Indexer?

 

You can start using ChatGPT to enable deep search on video archives indexed using Azure Video Indexer by deploying this solution to your Azure subscription or run it locally on your device or other cloud. It is developed by the Data & AI Global Black Belt EMEA Team at Microsoft and is fully opensource and free to use, change and adapt to your needs. There is an easy “Deploy to Azure” script to get started quickly. And while this first release uses the Azure Video Indexer transcripts, we're planning to add other relevant insights like Faces, OCR, Lables, Topics and Keywords to further enhance the capabilities of deep search and result relevance.

 

 

 

See this video to get a quick impression of the solution.

 

 

 

 

 

 

Resources:

 

• Azure Video Indexer portal
  
• OpenAI ChatGPT Solution
  
• Demo Video
  

 

 

 

Learn More about Azure Video Indexer

 

• Use Azure Video Indexer website to access product website and get a free trial experience. 
  
• Visit Azure Video Indexer Developer Portal to learn about our APIs 
  
• Search the Azure Video Indexer GitHub repository 
  

• Review our product documentation. 
  
• Get to know the recent features using Azure Video Indexer release notes 
  
• Use Stack overflow community for technical questions.  
  
• To report an issue with Azure Video Indexer (paid account customers) Go to Azure portal Help + support. Create a new support request. Your request will be tracked within SLA. 
  

 

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