How to Use AI in Video Editing Software
Among social media users, videos are much more popular than images or text. With the development of Internet connection speed and quality, the popularity of online content and video streaming services continues to grow. Therefore, brands and individual media personalities, picking up on this trend, have started actively publishing high-quality visual content to meet audience demands.
What is important for media is that images or videos in Ultra HD format can be edited without loss of image quality. But what about old movies, commercials, and low-res home videos? Is it possible to improve their quality for comfortable viewing on modern screens? Let’s find out.
How to improve video quality with artificial intelligence?
Let’s say you want to process a video. It’s years old, shot on an old video camera, and the picture quality leaves a lot to be desired. Or you have a different task and want to make your latest video recorded on a fashionable gadget more clear and detailed. In both cases, artificial intelligence (AI) will help us.
The range of possibilities offered by network technology is immense. For example, you can upscale 4K Ultra HD video from the original 480p or 19th century film to create a high quality image. Moreover, the AI allows you to fix minor flaws in the video, such as darkening and blurring of objects.
In a nutshell, video enhancement is the process of improving the quality of a video recording. Professional video editors generally support the following features:
- scaling (high end);
- improved lighting;
- noise cancellation;
- brightness adjustment;
- cropping (cropping), video rotation, mirroring;
- effects and animations.
Video editors to improve quality can give your old recording a second life.
Video upscaling is the process of converting lower resolution media to higher resolution. Basic scaling is a way to “stretch” a lower resolution image onto a larger screen, usually with degradation in quality and loss of detail. To enlarge an HD image on a 4K screen would require filling an additional 6 million pixels. Therefore, the scaling program must determine what each of these new pixels will display based on what neighboring pixels show – interpolation.
In other words, to increase the resolution of an image fivefold, you need to place 4 more pixels next to it using the software method. However, this method requires some computing resources, like anything related to neural networks. Despite this, this method solves our problem.
Video processing by a neural network: how it works
Convolutional neural networks are used when working with image and video related projects. This technology allows you to reduce the amount of information stored in memory. Additionally, it starts the process of finding the reference (video) features of the image, such as edges, contours, and corners. These features recognize the filters that convolutional neural networks operate on, thanks to which they better handle high-resolution images. Thus, this technology is the main “under the hood” of any AI video enhancement tool.
In theory, video processing can be thought of as a series of operations performed for each frame.
The process includes:
- Decoding – converting a video image from a compressed format to the original.
- Calculation – a certain operation that we need to do with the frame.
- Encoding – the transformation of the processed frame into a compressed state.
This is a specific action plan. Although this approach looks simple and easy to implement, it is resource intensive and difficult to implement. Already created special services based on pre-trained neural networks help simplify the task. You don’t need to code anything.
Enhance Video with AI: Super Resolution
Although many algorithms produce different levels of image quality, interpolation tends to improve low resolution images. But it’s surprising how often people try to “fill in” missing pixels. The image fills the entire 4K screen accordingly; however, it may appear washed out, muffled, or contain artifacts (noise halos, squares). Scaling AI takes a completely different approach.
A deep learning method predicts a higher resolution image which after compression will look like our original input with a lower resolution image. Neural networks must be pre-trained on millions of photos to achieve this degree of precision.
The AI model can “finish off” missing pixels while processing low-resolution video by examining every frame and improving the quality exponentially. No typical high-end can match the clarity and detail you get, from sharp detail to sharper, smoother motion reproduction.
With each training cycle, the AI models become more accurate and their accuracy increases. Additionally, there are many deep learning models that can be used to improve various types of video footage. Moreover, neural networks can be mixed, which sometimes produces amazing results.
Thus, artificial intelligence has made it possible to increase the famous “Arrival of the train at La Ciotat” in 4K. This is an 1896 French black and white documentary short film directed by the Lumière brothers. Even though the original image was enlarged by 600%, the AI-based algorithm (DAIN and Topaz Gigapixel AI) was able to produce a clean, crisp image with no visible grain, artifacts or distortion. It looks like the record is modern – only black and white.
Why use AI for video editing
AI can choose, edit, shoot and distribute video clips online, allowing it to easily handle certain aspects of the production and distribution industry. You can now make more individualized and distinctive films using AI, which will increase interaction.
To use programs with AI, you don’t need programming skills. Today’s cameras don’t even need manual control or instructions from you. AI can easily capture and select important moments and edit and create videos. SoloShot, which provides automated video editing capabilities, and GoPro’s Quik app, which enables quick video editing and sharing, are two excellent examples of AI video creators.
AI is also used today for the simplest operations and is available even in non-professional editors such as InVideo, Rawshorts, Vedia, iMovie for PC and others. You can easily drag, edit or apply effects, apply a template, let the software choose highlights and script, and much more. These tools are perfect for creating personalized videos without wasting time and money.
Summarizing all the above, this is why you need an AI-powered video editing tool.
- Time saving;
- No need to spend a lot of resources;
- It is less expensive;
- It’s more effective at reaching an engaged viewer;
- Does not require technical knowledge;
- It allows amateurs to create professional videos.
AI video editing is the future of the video editing industry. Currently, some services support AI-assisted video editing, such as RephraseAI, Gliacloud, Jumptvs, Magisto, etc. This can greatly help your business because apart from improving the quality of your video content, you can create videos without outsourcing or outside help from good video editors.
With the help of AI, it is really easy to create professional and visually appealing videos. It can identify the script of the video, understand the concept of the video, adjust the visual effects, etc. AI has made life easier not only for video editors, but also for anyone who wants to create amazing videos.