Google Cloud Video Intelligence API by Example
30mIntermediate2020-02-06
Authors

Jonathan Fernandes
Consultant focusing on data science, AI, and big data
Course details
Cloud Video Intelligence API allows developers to leverage the power of machine learning to work smarter, not harder. Instead of poring over your footage to find a particular shot, you can leverage pretrained machine learning models to quickly detect the objects you're looking for. Video Intelligence API also offers useful features such as the ability to moderate content and perform speech-to-text transcription. In this course, Jonathan Fernandes helps you get started with Video Intelligence API, demonstrating how to make calls to the API with Python and use machine learning models to glean insights from videos. Along the way, Jonathan provides hands-on exercises that enable you to apply the concepts you're learning.
Skills covered
Google CloudMachine LearningSoftware Development ToolsGoogleCloud PlatformsArtificial Intelligence (AI)Cloud ComputingSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Use machine learning to search your raw video footage
1. Getting Started with Google Video Intelligence API
- 02 - What is Google Video Intelligence API
- 03 - Getting started
- 04 - Testing setup
2. Video Segments, Shots, and Frames
- 05 - Video segments, shots, and frames
- 06 - Segment-level label annotation
- 07 - Shot-level label annotation
- 08 - Frame-level label annotation
3. Sensitive Content Detection, Tracking Objects, and Transcribing Videos
- 09 - Challenge - Tracking objects
- 10 - Solution - Tracking objects
- 11 - Challenge - Transcribing videos
- 12 - Solution - Transcribing videos
Conclusion
- 13 - Cleaning up
- 14 - Next steps
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- Using Veo 3 for AI-Generated Video
- Google Gemini for Developers (2024)
- Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)
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