Among social media users, videos are much more popular than pictures or text. With the development of the speed and quality of Internet connection, the popularity of online content and video streaming services is growing. Therefore, brands and individual media personalities, picking up on this trend, began to actively release high-quality visual content to meet the audience’s requirements.
What is important for the media is that images or videos in Ultra HD format can be edited without loss of picture quality. But what about low-res old movies, commercials, and 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 that is many years old and filmed on an old video camera, and the image quality leaves much to be desired. Or you have a different task and want to make your latest video recorded on a fashionable gadget clearer and more detailed. In both cases, artificial intelligence (AI) will help.
The set of possibilities of network technology is huge. For example, you can upscale video to 4K Ultra HD from the original 480p or from an XIX-century film to make a high-quality picture. In addition, AI allows you to correct minor flaws in the video, such as the darkening and blurring of objects.
In a nutshell, video enhancement is the process of enhancing the quality of a video recording. Professional video editors usually support the following features:
- scaling (upscale);
- improved lighting;
- stabilization;
- noise suppression;
- brightness adjustment;
- cropping (cropping), video rotation, mirroring;
- filters;
- effects and animation.
Video editors to improve the quality can give your old recording a second life.
Video upscaling is the process of converting lower-resolution media to higher-resolution. Core 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 onto a 4K screen, an additional 6 million pixels would have to be filled in. Therefore, the upscaling program must determine what each of these new pixels will display based on what the neighboring ones show – interpolation.
In other words, to increase the resolution of an image by five times, you need to put another 4 pixels next to it using the software method. However, this method requires certain computing resources, like everything 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 projects related to images and videos. This technology allows you to reduce the amount of information that is stored inside the memory. In addition, it starts the process of searching for reference features (video) of the image, such as edges, contours, and corners. These features recognize the filters on which convolutional neural networks work, thanks to which they better cope with 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 that are performed for each frame.
The process includes:
- Decoding – converting a video frame from a compressed format to the original.
- Calculation – a certain operation that we have to do with the frame.
- Encoding – the transformation of the processed frame back into a compressed state.
This is a specific course of action. Although this approach looks simple and easy to implement, it is resource-intensive and difficult to implement. Special services based on pre-trained neural networks have already been created to help simplify the task. You don’t need to code anything.
Enhance video with AI: Super resolution
Although many algorithms produce varying levels of image quality, interpolation tends to improve low-resolution images. But it’s surprising how often people try to “complete” the missing pixels. The image fills the whole 4K screen as a consequence; however, it can appear washed out, muted, or contain artifacts (noise halos, squares). AI upscaling takes a completely different approach.
A deep learning method predicts a higher-resolution picture that, after compression, will resemble our original input given a low-resolution image. Neural networks must be pre-trained on millions of photos to get this degree of accuracy.
The AI model can “finish” the missing pixels while processing low-resolution video by examining each frame and enhancing the quality exponentially. No typical upscale can match the clarity and detail you get from this, from accurate detail to crisper, smoother motion replication.
With each training cycle, AI models get more accurate, and their accuracy increases. Additionally, many deep-learning models may be used to enhance various kinds of video footage. Additionally, neural networks may be mixed, which occasionally produces astounding results.
So, artificial intelligence helped increase the famous “Arrival of the train at La Ciotat” to 4K. This is a short French black-and-white documentary film from 1896 by the Lumiere brothers. Even though the original image was enlarged by 600%, the AI-based algorithm (DAIN and Topaz Gigapixel AI) was able to produce a sharp and clean image without visible grain, artifacts, or distortion. It seems that the record is modern – only black and white.
Why use AI for video editing
AI can choose, edit, shoot, and distribute video clips online, so it can easily manage some aspects of the production and distribution industry. You can now make films that are more individualized and distinctive with the aid of AI, which will increase interaction.
To use programs with AI, you do not need programming skills. Cameras today don’t need even 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 allows for rapid video editing and sharing, are two excellent illustrations 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 the highlights and script, and do much more. These tools are great for creating custom videos without wasting time and money.
Summarizing all of the above, that’s why you need an AI-powered video editing tool.
- Saves time;
- No need to spend a lot of resources;
- It’s cheaper;
- Automated;
- It’s more effective in 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. Right now, some services support AI-assisted video editing, such as RephraseAI, Gliacloud, Jumptvs, Magisto, and more. This can greatly help your business because, apart from enhancing the quality of your video content, you can create videos without outsourcing or any outside help from the right video editors.
Apart from the above-mentioned tools, there are other tools available online, like Submagic. With this tool, you can create, edit, or modify any short video. You can also access an auto subtitle generator, add background music, auto-zoom, and more.
Conclusion
With the help of AI, it is really easy to create professional and visually appealing videos. AI can identify the script, understand the concept, adjust the visual effects, and more. AI has made life easier not only for video editors but for anyone who wants to create amazing videos.
