Video Intelligence API documentation
The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more
Start your proof of concept with $300 in free credit
- Get access to Gemini 2.0 Flash Thinking
- Free monthly usage of popular products, including AI APIs and BigQuery
- No automatic charges, no commitment
Documentation resources
Related videos
Accelerate building AI applications with Cloud Run
Build a generative AI application using the Gemini API and Vertex AI, and deploy it rapidly using Cloud Run, so you can focus on what's core to your business and leave the auto-scaling to Google. How to Deploy a Gemini-powered chat app on Cloud Run →
How to get started with ML APIs
Identify Objects from Images using AI → https://goo.gle/unicorn-ObjectLoc Here to bring you the latest news in the startup program by Google Cloud is Abhishek Bhagwat! Welcome to the second season of the Google Cloud Technical Guides for Startups -
Digital upskilling with AppSheet
Appsheet → https://goo.gle/3xOE4f7 How can you solve the talent and skills gap in your workforce? In this video, we’ll show how digital upskilling your workforce with AppSheet can improve resiliency and fill in these gaps. Watch to learn how you can
Video intelligence takes to the streets
Smart cities are being used to improve government efficiency, saving both time and money. In this video, we showcase Google’s Video Intelligence API and how it helped the city of Memphis manage, evaluate, and restore potholes, while easily
Can AI make me a better athlete?
Can an algorithm help you improve your penalty kick or tennis serve? In this episode of Making with Machine Learning, Dale Markowitz chats with Machine Learning Engineer Zack Akil to learn about how Google Cloud’s ML services, like Cloud AutoML
I built an AI-powered moderation bot for Discord
Welcome to the second episode of Making with Machine Learning! In the last episode, we created an AI-powered searchable video archive. In this episode, we’ build an AI-powered moderation bot for the chat platform Discord, powered by the Perspective
I created an AI-powered video archive for searching family videos
Welcome to the first episode of Making with Machine Learning! In this series, we’ll build apps powered by Machine Learning and AI, no experience required. In this video, Dale Markowitz creates an AI-powered searchable video archive of three decades
GCP Machine: Cricket Video Analysis to Predicting Coal Mine Equipment Failures (Cloud Next '19)
Two very different companies - Teck Resources, one of the world’s largest mining companies vs English and Wales Cricket Board, a major sports and entertainment organization. Two very different ML domains - predictive maintenance vs sports analytics.
The Road to Intelligent Transportation (Cloud Next '19)
Mobility is a way of life for active and thriving communities. Residents place their trust in the government to manage roadways and traffic, reduce congestion, and keep them out of harm’s way when traveling to their destination. Yet with cities
Using Video Intelligence API with C#
Mete Atamel (@meteatamel) shows how you use the Video Intelligence API with C#. Take a look at this codelab for more details → http://bit.ly/2NvZ7vZ Watch more Cloud Minute videos → http://bit.ly/2CkKpaK Subscribe to the GCP channel →
Proactively Restocking Inventory using Machine Learning (Cloud Next '18)
How do you notify store associates when items are out of stock? What if you could leverage footage from in-store cameras to detect when stock is low for items that have a quick turnover (like produce) and have those refilled before running out? In
How Computer Vision Works
The Google Cloud Vision and Video Intelligence APIs give you access to a pre-trained machine learning model with a single REST API request. But what do those pre-trained models look like behind the scenes? In this video we'll uncover the magic of
Cloud Video Intelligence API with Sara Robinson: GCPPodcast 74
Original post: https://www.gcppodcast.com/post/episode-74-video-intelligence-api-with-sara-robinson/ Have you ever wanted to apply Cloud Vision API to videos? Well, Sara Robinson is here to tell your co-hosts Mark and Francesc about Cloud Video
Machine Learning Demo: Cloud Video Intelligence API
Watch how the Cloud Video Intelligence API allows you to search & discover within video.
Introduction to Video Intelligence (Google Cloud Next '17)
In this video, you'll learn how to build a comprehensive catalog of your content by understanding the most important entities within your videos and identifying ads as well as inappropriate content using Google Cloud Vision API. Missed the
The primary key to location intelligence (Google Cloud Next '17)
Humans navigate a world made up of places with names, addresses and phone numbers — not latitude/longitude coordinates. The Google Places API enables an app or website to present location data to users in a human-centered fashion. In this video,
Machine Learning APIs by Example (Google Cloud Next '17)
Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five
Cloud Video Intelligence API Demo
Introducing Cloud Video Intelligence API. Demo by Google Developer Advocate, Sara Robinson. For more info about Cloud Video Intelligence API: https://cloud.google.com/video-intelligence/