![]() ![]() We trained the model with challenging video samples to perform better than the traditional feature-matching algorithm. The new stabilization AI model considers the entire frame instead of an individual point. Still, it may be unreliable if the frames contain challenging scenes such as low contrast regions, illumination changes, motion blur, and moving objects. Traditional methods rely on finding and matching individual feature points between frames to determine the camera motion. ![]() It transforms each frame so that camera movements appear to be smoother.It estimates the camera movements between the frames, and.The new stabilization model reduces shaky or jittery motion that often results from an unstable camera. Ability to play preview videos in an external player app.An internet connection is required to download new AI models. ![]()
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