Google has unveiled AutoFlip, an open source, AI-enabled tool that offers smarter, automated video reframing. A lot of video is captured in landscape aspect ratios such as 16:9 and 4:3, not optimized for different (read: vertical) display devices. The traditional method has been to statically crop the material that doesn’t fit in the destination device, but that usually offers an unsatisfactory result. AutoFlip, however, relies on AI object detection and tracking to intelligently understand the video content. Continue reading Google’s AutoFlip for Automated AI-Enabled Video Reframing

Google relied on computer vision and machine learning to research a better way to perceive hand shapes and motions in real-time, for use in gesture control systems, sign language recognition and augmented reality. The result is the ability to infer up to 21 3D points of a hand (or hands) on a mobile phone from a single frame. Google, which demonstrated the technique at the 2019 Conference on Computer Vision and Pattern Recognition, also put the source code and a complete use case scenario on GitHub. Continue reading Google Open-Sources Real-Time Gesture Recognition Tech