AI is showing up in everything we do. From smart assistants to AI-generated images, AI's horizon keeps expanding. Companies are raising millions to power their AI-driven video editing and production tools. Others are experimenting with AI video editing tools and production left-right-center.
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One example is YouTube’s recent announcement that it will roll out generative AI features to users in the coming months. This will help YouTube users create generative images from text and add special effects to their videos.
And this is just the tip of the iceberg. AI for video can create value by revamping how video is produced, edited, and marketed. As the entertainment market grows year after year and the technology to support it continues to develop, AI is reshaping how we create and edit videos completely.
In this article, we will explore how AI for videos is changing the video landscape and which apps enable it. As an AI Engineer, this can be your core expertise. Understand AI video editing and its production at every step to make a mark in this domain.
Also Read: How to Become an AI Engineer?
AI for Video: Applications of AI in Videos
Artificial Intelligence, by definition, is the intelligence demonstrated by machines to learn, synthesize, and process information to its maximum accuracy. New AI tools pop up daily, trying to fill one gap or another in a niche its competitors missed. One such niche is video editing and production.
Most AI video editing tools online make it easy for users to create and edit videos, especially for non-video professionals. But there are also highly complex AI VFX tools like inVideo agent that offer advanced features at an almost Star Trek level!
One such tool is Google’s AI video editor, Dreamix. Dreamix takes video editing up a few notches, offering video modifications via text prompts. The basic idea is that it takes a video, adds noise, then uses a video diffusion model and text prompts to redirect it. Pretty advanced, huh!
Now let's look at how AI for video can revolutionize video editing and production on the ground.
Let’s get started.
Streamline video production process
The video production process is complicated. It involves multiple steps, and each step can be difficult to streamline. But artificial intelligence (AI) can automate the entire process. By learning what customers want and need, AI can help them get exactly what they want faster than ever.
AI is doing this by automating the editing process for videos.
Instead of having a human do it, which requires time and effort on their part, you can have AI do it for you—and it will be done much faster and more efficiently than any human could manage. This means you won’t need as many people on staff to produce your content, since fewer processes will be involved in creating it.
Steps to Create an AI-Video
The first step of creating a video is writing the script. AI can automate this process by analyzing existing content, identifying language patterns, and using those patterns to write new content. The resulting script will likely be more engaging than one created manually and less likely to contain errors.
Once the script is written, AI can automate recording footage or even direct the actors. This can save time and money while also increasing efficiency and accuracy.
Once the footage is recorded, AI can automatically edit it into its final form—a process that would otherwise take hours to do manually. The end product will likely be more polished than a similar video created by hand because AI can access multiple types of footage that may not have been available.
One example is Synthesys, a tool that helps you create videos with AI.
It uses Text-to-Video (TTV) technology to transform scripts into dynamic media presentations. The tool allows you to choose an avatar, type your script in one of 66+ available languages, and get a high-quality video without using any cameras or film crews; very useful when creating explainer videos and product tutorials.
AI tools now make it easier than ever to make product videos with AI, allowing creators to automatically generate videos from scripts, prompts, or product descriptions.
This means that AI can do it for you instead of having someone sit down and write every word in a script.
It will generate thousands of ideas for content and then use them to create the video for you.
This is much faster than having a human come up with ideas from scratch—and it saves time because you don't need to edit these videos afterward.
Improved video quality
AI algorithms have been trained to recognize what makes a good-looking video and apply those characteristics to other videos. This lets them adjust lighting, contrast, and color levels automatically so all your videos look consistent.
Another way AI improves video quality involves noise reduction.
When filming in low light conditions or outdoors on a cloudy day, you’ll notice that there’s often some grainy noise in your footage – this can be very distracting for viewers!
But AI-powered noise-reduction software can solve this problem easily before you publish your video online or upload it to social media platforms such as Instagram or Facebook (where most people consume entertainment today).
In addition to improving video quality, AI is also helping content creators to make their videos more engaging. For example, machine learning software can analyze your video’s content and suggest edits for you (i.e., if the sound levels are too low or high).
You can then create a much better final product than if you were to do everything manually – which takes much longer!
Also Read: Classifications in Machine Learning & Machine Learning Algorithms
Video compressor and deep render
From rendering to compression, AI is making it easier than ever to create high-quality content that reaches your audience personally and engagingly.
So what exactly does this mean?
Well, let’s start with rendering.
When working with a large volume of raw footage or high-resolution images, it can be difficult to render these files down into something manageable by your computer—even more so if you’re trying to do this in real time during production.
AI can help by analyzing the file and deciding what parts matter most (for example, motion), then rendering those assets first and leaving the rest for later if needed. This lets you focus on what matters most: creating an amazing final product.
We’ve already talked about various data compression techniques. AI works wonders in video compression, especially with 4K video files.
Generating 4K video requires a lot of processing power—so much so that traditional computers can’t handle it well enough for real-time editing purposes without sacrificing quality or speed. AI can handle 4K video files with ease.
An AI-powered video editor can analyze each frame in a video and compress only the parts that need it most, thereby saving space. This means you get better quality and faster rendering times when working with large files.
AI can also suggest the best video format to use. It can detect whether you will use it online, offline, or for backup and archiving. AI also uses popular formats such as MP4, FLV, and WebM and compresses them directly with an MP4 compressor, FLV compressor, etc., so they can be read and used across different systems and devices.
A video compressor tool is a game-changer for editors. We’ve all been waiting to work with 4K files without sacrificing quality or speed!
AI and cloud technology
Combining AI and cloud technologies has driven impressive advances in video production. The cloud makes this possible by letting you work with high-quality equipment from anywhere in the world.
The combination of AI and cloud means that anyone who wants to make their videos can do so with very little cost and effort—and they’ll be able to use state-of-the-art technology without buying any equipment on their own.
These two technologies have created an environment where anyone can learn how to make great videos without spending thousands of dollars on equipment or taking expensive classes.
Artificial intelligence is getting smarter, and the cloud is making it even more accessible.
Our Applied AI course covers a spearate module on AI and Cloud Computing that will help you in building AI-driven chatbots, video editor apps, content apps, and more. Sign up for a demo or talk to our expert to understand the scope of this course.
Detecting similar scenes
Artificial intelligence can find similar scenes in a video to improve the efficiency of video editing and production. This would allow a user to locate content across their entire video library rather than searching through each video.
The technology behind this is called “deep learning”.
It involves training an artificial neural network on large amounts of data to make inferences about certain things. In this case, it learns how different scenes look and feel so it can recognize similar ones later.
This technology offers many benefits. It can help users locate content they didn’t know before or make it easier to find related content from a video they like.
Also Learn: AI + Deep Learning with Python
The technology is also useful for recommending content you might not have considered. For example, if someone watches a video from a cooking channel, the platform could recommend similar videos from other channels that cover similar topics. This can help people find new content they may not have encountered otherwise.
Additional Reading: Fundamental Concepts about Neural Network and Deep Learning
Audio and video transcriptions
One of the most interesting ways artificial intelligence is changing the video editing and video production industry is through automatic speech recognition (ASR). This is software that converts audio into text. It can transcribe any kind of spoken language, including languages with accents or dialects.
While ASR isn’t new, it has become more accurate and efficient as developers have learned to use it more effectively. Today, ASR can do more than transcribe—it can also translate.
Also Read: Machine Learning vs. Pattern Recognition vs. Data Mining
In addition to recognizing speech and converting it into text, ASR systems can be trained to detect emotion in people’s voices. This lets them tell whether someone is angry or happy when they speak, which can support many applications, such as customer service or personalized advertising campaigns based on demographics like gender or age groups.
In Conclusion:
Considering their popularity and ability to bring life to any video project, a new generation of video editors are emerging that could change how we see video production. From creative approaches to hardware capabilities, everything points toward artificial intelligence, making video editing a very different process.
While more studies are needed to determine what an AI-edited video looks like compared to one edited by a human editor, this innovative topic points to a bright future for the video production industry.
This is a Guest Post by Cris Mark Baroro from Veed.io
I’m a Search Engine Optimization Specialist from VEED.io. I love technology. I can also write, program, and specialize in QA systems. VEED is a free online all-in-one video editing platform. ~ Cris Mark Baroro