Virtual background from Banuba Recording Videos With Virtual Backgrounds: Examples It requires neural networks and deep learning specialists to train them, not to mention the knowledge of how to properly record videos and process them. This technology is different from simple chroma key (green screen) recording, as it doesn’t require an actual screen to work – a major advantage. Not to mention the difference in precision, battery usage, CPU/GPU load, and other technical factors. For example, some of them have higher chances of recognizing shadows as foreground objects or returning false positives/negatives, messing up the processed image. There are many approaches to this task (running Gaussian average, temporal median filter, mixture of Gaussians, etc.) but all of them essentially analyze the image pixel-by-pixel.ĭespite the advanced state of modern virtual background algorithms, there are still differences between the specific implementations. Simply speaking, they separate each frame into a static/mostly static background and moving foreground, and then replace the background with pictures, animated gifs, videos, etc. Virtual green screen effect is based on background segmentation algorithms.
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