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Description
Azure Video Indexer is an intelligent video analytics platform that leverages artificial intelligence to derive valuable insights from videos stored in your library. It facilitates enhancements in ad placement, digital asset management, and media libraries by scrutinizing both audio and visual content, eliminating the need for machine learning skills. By utilizing video indexing, you can improve search functionalities, as it automatically extracts pertinent information from your videos through metadata. The service offers multichannel analysis, enabling a more efficient search experience across your entire media collection and within individual files. Users can search for content based on various criteria such as individuals, projects, visual text, spoken words, entities, and topics. The metadata that is extracted can significantly enrich the user experience and interface. Additionally, it allows for easy integration of closed captions in multiple languages through speech transcription and translation features. Furthermore, you can refine recommendation systems based on the presence of specific objects and individuals in videos, while also having the ability to generate clips that highlight particular people or moments. This level of customization and insight makes Azure Video Indexer an invaluable tool for media professionals.
Description
Advanced video analysis technology can identify more than 20,000 different objects, locations, and activities within video content. It allows for the extraction of comprehensive metadata across various levels, including the entire video, individual shots, or specific frames. Users have the capability to define custom entity labels through AutoML Video Intelligence, tailoring the tool to their needs. Additionally, it offers the ability to gather insights in near real-time, using streaming video annotation alongside object-based event triggers. This functionality enables the creation of captivating customer experiences through highlight reels and personalized recommendations. Furthermore, it supports the recognition of over 20,000 objects, places, and actions in both stored and live video feeds. Users can search their video libraries in a manner similar to document searches, facilitating easier access to specific content. The rich metadata extracted can also serve to index, organize, and filter video assets, ensuring that the most relevant content is highlighted. With these features, organizations can leverage video data more effectively to enhance their operations and engage their audiences.
API Access
Has API
API Access
Has API
Integrations
Azure AI Content Safety
Azure AI Services
BOSCO
Google Cloud AutoML
Google Cloud Platform
Unremot
Integrations
Azure AI Content Safety
Azure AI Services
BOSCO
Google Cloud AutoML
Google Cloud Platform
Unremot
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.10 per minute
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/media-services/video-indexer/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/video-intelligence
Product Features
Video Marketing
Analytics / Reporting
Chat / Messaging
Customizable Branding
Customizable CTAs
Lead Capture
Media Library
Multi-Platform Distribution
ROI Tracking
Social Sharing
Templates
Video Editing