Videos can be found almost everywhere across the Internet. They have become an essential element of many websites and mobile apps. Are you willing to help the users of your app create professional and visually appealing videos quickly and easily? Consider enhancing the app's functionality with AI for video editing.
Why Do You Need AI For Video Editing?
AI for video editing is used for automating the video creation process. The respective functionality takes advantage of computer vision algorithms and neural networks to understand the visual and audio content of the video and optimize the video creation process as well as its final quality. It can help edit videos without significant intervention from the users.
Users can perform either standard video editing or use the AR video overlay functionality. The first one allows us to specify different video parameters and its sequence. Video augmentation tools can, on the other hand, enhance the videos with AR effects to make them more interesting and engaging. Among those are video face filters, video post-processing and beautification effects, texts and GIFs.
Our AI Video Editor SDK can bring AI for video editing functionality to your app, helping users create short videos like on TikTok. The API includes the best collection of filters, animated backgrounds and AR overlay features.
A short presentation of Banuba's AI Video Editor SDK.
5 Use Cases Of Implementing AI For Video Editing
Artificial Intelligence can ease the process of visualizing the cooking process and is set to become an integral part of the food preparation process.
One example of using this AI video editing in cooking is Romain Rouffet's recipe for preparing a Banoffee. Using the technology, video creators can overlay texts, visual stimulus and other elements on top of specific food items in a video.
A few years ago, most of us did not have a clue about the use of AI video editing tools for social media. TikTok has changed this in 2016.
The app's user-generated video content now gains thousands and sometimes millions of impressions every day. Augmented Reality effects boost user engagement, which results in higher content sharing. They improve audience retention and encourage the younger generation to create authentic content.
The video editing technology used by TikTok can be classified into various modules such as face recognition, real-time face capture and beauty algorithms. By working at the same time, they provide us with filters and effects used on the videos.
Example of Anime Face Filter used on Tiktok.
The AI for Video Editing software integrated into an educational platform allows teachers to create lectures augmented by Face AR effects. The latter plays a positive role in making videos more fun, improving virtual class attendance. Teachers can record videos using AR masks and virtual backgrounds to make sure their students will have more opportunities for visualizing and memorizing different aspects of the subjects they are studying.
The process of augmenting videos with Face AR effects involves face detection, extraction of facial landmarks, image processing and the application of Face AR elements on people's faces.
Example of Face AR effects used in a educational video.
Dual Camera Video Recordings
Dual camera recording functionality first introduced in iPhone 11 allows creators to record videos by using both front and back cameras simultaneously, combining the resulting content into a single video.
This example takes advantage of AI-powered superimposition where the video editing software extracts the subject in the front camera and projects it to the scene in the back camera in real-time.
Example of a video recorded from front and back cameras at the same time.
Weather Channel Studio Effects
The television industry is also using AI for video editing to enhance the shows' quality. Take an example of weathermen that have been standing in front of the green screens for years which appear as maps to viewers to deliver their weather forecasts.
The Weather Channel has taken the AI Video Editing a step further to illustrate extreme weather conditions and their effects such as cars driving through the studio to show how vehicles can lose control on snowy or icy roads.
These videos use immersive Mixed-Reality technology which takes advantage of Unreal Engine, a video game development platform. They take green screen graphics and merge them with real-time, predictive data about the current weather conditions. The result is a virtual scenario that unfolds around a news presenter, engulfing the set with realism but allowing him or her to walk viewers through potential weather with urgency.
The use of Augmented Reality by the Weather Channel.
The use of AI for video editing makes the process of creating videos faster, easier and more efficient. The technology can boost user-generated content with AR effects and increase social media shares.
Have you tried this software for your needs? And if you did, what is your impression of it? Share your opinion in one of our social media channels.