WWDC25: Enhance your app with machine-learning-based video effects | Apple
Discover how to add effects like frame rate conversion, super resolution, and noise filtering to improve video editing and live streaming experiences. We’ll explore the ML-based video processing algorithms optimized for Apple Silicon available in the Video Toolbox framework. Learn how to integrate these effects to enhance the capabilities of your app for real-world use cases.
Explore related documentation, sample code, and more:
Frame processing: https://developer.apple.com/documenta...
Video Toolbox: https://developer.apple.com/documenta...
Enhancing your app with machine learning-based video effects: https://developer.apple.com/documenta...
00:00 - Introduction
01:04 - Video effects overview
04:55 - Add effects to your app
06:46 - Example use: frame rate conversion
11:16 - Example use: motion blur effect
13:46 - Example use: low latency super resolution effect
14:55 - Example use: low latency frame interpolation
More Apple Developer resources:
Video sessions: https://apple.co/VideoSessions
Documentation: https://apple.co/DeveloperDocs
Forums: https://apple.co/DeveloperForums
App: https://apple.co/DeveloperApp