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Azure Video Indexer

Service

Azure Video Indexer

Problem

You have video content (e.g., recorded meetings, events, presentations) and need to extract insights for indexing, analysis, and content moderation.

Solution with Azure

Use Azure Video Indexer to analyze videos using prebuilt AI models for transcription, sentiment analysis, OCR, facial recognition, and more. You can also train custom models to extract domain-specific insights.

Componenti richiesti

  • Azure Video Indexer Portal – for uploading and analyzing videos interactively.
  • Azure Video Indexer REST API – for programmatic access to upload, analyze, and retrieve video insights.
  • Video Indexer Widgets – to embed analysis capabilities in custom applications.
  • ARM Templates – to deploy Video Indexer resources automatically.
  • Limited Access Approval – required for facial recognition and custom people models.

Architettura / Sviluppo

Upload e Analisi

  • Upload videos via portal or API.
  • Analyze video to extract:
  • Speech transcription
  • Optical Character Recognition (OCR)
  • Facial recognition (Limited Access)
  • Scene segmentation
  • Sentiment detection
  • Topic and label identification
  • Content moderation

Modelli Personalizzati

  • Use custom models for:
  • Recognizing custom people (via uploaded images)
  • Recognizing brand names
  • Custom language models (e.g., domain-specific terms)

Integrazione

  • Embed widgets in HTML to allow controlled sharing of analyzed content.
  • Access data via REST API, including:
  • Authentication using access token
  • Retrieve video insights
  • Manage custom models (e.g., custom logos, brands)

API Examples

Retrieve access token: 

https://api.videoindexer.ai/Auth/<location>/Accounts/<accountId>/AccessToken

Retrieve videos: 

https://api.videoindexer.ai/<location>/Accounts/<accountId>/Videos?<accessToken>

Best practice / Considerazioni

  • Ensure Responsible AI compliance when using facial recognition or creating custom people models.
  • Use custom language and brand models to improve recognition for domain-specific content.
  • Embed widgets only when controlled access is required — avoid exposing full portal access.
  • Automate deployment and scaling using ARM templates.
  • Use metadata and insights for improved video search and user engagement.

Domande simulate d'esame

Q1. You need to extract spoken dialog and key topics from a recorded meeting. Which Azure service should you use?
A. Azure Video Indexer

Q2. What feature must be enabled with Limited Access approval in Azure Video Indexer?
A. Facial recognition

Q3. How can you integrate Azure Video Indexer analysis into a custom web application?
A. Embed Video Indexer widgets

Q4. You need to detect a specific brand name that appears in a product demo video. How should you proceed?
A. Train a custom brand model in Azure Video Indexer

Q5. Which endpoint retrieves your account's access token for the Video Indexer REST API?
A. https://api.videoindexer.ai/Auth/<location>/Accounts/<accountId>/AccessToken