But if you're one of them, you'll now have a new tool to create custom videos.
In a blog post, the tech giant talks about employing a new tool called real-time video segmentation which will enable users to change the background of their videos, as easily as applying a filter.
If you watch out new videos on daily basis, then I will recommend you to stuck with your original YouTube app and if you want to save your data while watching the videos or watch the videos offline with nearly no data, then YouTube Go app is available for you.
Google researchers and software engineers Valentin Bazarevsky and Andrei Tkachenka, have been developing a more practical way to change backgrounds without the need of any harsh Photoshop or photo booth efforts for video creators and with no need of green screen at all since all will be completely suitable through an app on the user's phone. The ability to download YouTube videos for offline view is one of the main features offered by YouTube Red, a Google service that requires a subscription. The Pixel 2 is sporting an AI-based portrait mode for still images.
Google has also trained Artificial Intelligence to pick up the difference between facial features such as the eyes, hair, glasses, and mouth from everything else in the background and foreground as well. All of these achieved without the hassle of setting up elaborate green screens too.
Surely, the release of a public version of the algorithm will learn to be more careful, careful trimming and fitting the edges of the layer of the video and background.
That's not to say green screen will go out of fashion anytime soon, though. Furthermore, it's still not certain what the requirements look like for this tech to work.
"Our immediate goal is to use the limited rollout in YouTube stories to test our technology on this first set of effects", Google explains. The offline YouTube feature is now available in 135 countries. We wanted the app was easy and fast, so we initially set ourselves the task to get it to work 20-30 times faster than other segmentation models of photos.