How AI is Transforming Video Production: Trends and Innovations

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As technology continues to evolve, the involvement of artificial intelligence in creative processes is transforming the way we plan, produce, publish, and consume digital content. AI is helping content creators and brand owners automate repetitive tasks, streamline workflows, and inform pre-production decisions. 

From creating AI-generated logos to publishing marketing videos that improve brand equity, we’ve seen artificial intelligence and its subsets — natural language processing and machine learning — take up the mantle for innovation. 

Powered by AI, what video production has gone through can be called nothing less than transformative. In today’s article, we will talk about some groundbreaking innovations that have impacted the world of videography most significantly. 

AI-Fueled Innovations in Videography

What AI can do in video-making is truly spectacular. Take a look at a few of its achievements.

1. Streamlining the pre-production process

AI is making huge strides in the field of script-to-screen visualization. Filmmakers are using AI-driven previsualization tools to input their entire scripts into these storyboarding programs. These tools, in turn, analyze the script, highlight key moments, suggest scenes and layouts, recommend character placement, and enrich the entire decision-making process. 

In other words, they give you a blueprint of how your video will potentially look as you go from one creative choice to another. 

Leveraging these incredible AI-powered programs, filmmakers can test various camera angles, estimate resources more accurately, and make more informed creative decisions. 

2. Enhanced visual effects

Arguably the most visible impact of AI’s power on videography has been in the realm of CGI and visual effects (VFX). From cartoonish animations to creating surrealist creatures that belong to fantastical lands, everything is now possible thanks to AI’s limitless capability of learning. 

AI’s deep learning models like generative adversarial networks (GANs) were instrumental in enabling Disney to create lifelike animals for its 2016 global blockbuster, The Jungle Book. 

On a much smaller scale, content creators, brand owners, and social media influencers use AI-powered visual effects tools to create their own videos every day. Video editing programs like Adobe’s Creative Cloud and Premier Pro have helped countless content creators and professional editors surpass their wildest imaginations of creative vision. 

As AI continues to evolve even more, we are excited to see what else it can do to proper human imagination. 

3. Audio enhancements in video productions

AI has made it possible for filmmakers to make massive improvements in sound design for video production. Leveraging deep learning, sophisticated algorithms, and machine learning, AI technologies can now help you enhance audio recordings, eliminate background noise, and restore archival audio. 

Tools like Adobe Audition’s Noise Reduction feature and iZotope’s RX series are examples of AI-powered audio restoration solutions.

Through natural language processing, you can now use AI to improve speech recognition, isolate individual elements from within an audio track (separating dialogue from background noise), and even identify emotional content in audio to further harness its power. 

All of these capabilities (and more) are not only enhancing the creative process of making a video but also improving the final result.  

4. Improving the accessibility of video content

As a content creator, you want your videos to enjoy immense reach and popularity. Language barriers and abilities-related challenges can make that difficult to happen. 

But with AI on your side, you can overcome these challenges and create inclusive video-viewing experiences that are immersive and accessible. 

With AI’s speech recognition tools, you can create videos with closed captions that overcome a lot of these challenges. People who are hard of hearing can benefit hugely from closed captions and enjoy the video without any disruption. 

In the same vein, AI translation tools can equip your videos with multilingual subtitles. So your audiences, no matter which part of the world they are in, can consume your content, enjoy it, and feel the emotions you want to evoke. 

5. Automating labor-intensive editing

One of the critical contributions of machine learning in video editing is its ability to automate labor-intensive tasks. Traditionally, video editing involves manually identifying and categorizing footage, trimming clips, adjusting transitions, and applying visual effects. By leveraging deep learning algorithms, AI-powered editing tools can automatically analyze raw footage, recognize key moments, and automatically generate edited versions of videos automatically. This automation eliminates the need for manual, time-consuming editing tasks.

6. Tailored video editing to fit the editor’s style

Whether you’re an A-list filmmaker or a local content creator, the fact is that you have a unique style of visual storytelling that’s all your own. Depending on your years of video making, chances are that your unique style has become more refined and pronounced. 

One of the strongest areas where AI shows the most potential is that it can learn your style. You can set up your editing software’s parameters according to your stylistic preferences and it will adjust its editing to suit your taste. It will also offer suggestions so you can improve upon what you’re doing, and recommend ideas that can elevate your visual style more. 

This personal approach adds the human touch to the entire process and ensures consistency across videos. 

7. Refined and insightful video analytics

Three unique AI-powered technologies are empowering video analytics to shape the future of video making and consumption. These include object recognition, scene detection, and object tracking. 

Object recognition algorithms identify and catalog objects or individuals in a video frame. Scene detection technologies can identify and categorize scenes based on context, characters, and or changes in scenery. Object tracking tools can be used to track a single or multiple objects or individuals in a video frame. 

Combined, all three kinds of algorithms mean content marketers and filmmakers now have immense opportunities to optimize their video content for more engagement and traction. You can now study these insights and analyze where you need to make improvements in the video, and what can be the best ways to publish and promote what you’ve created. 

The Takeaway

The days are gone when you looked at AI and reduced it to an unthinking technology that can only work as a bot and automate your repetitive mundane tasks. 

Time has shown just how creative and intelligent AI can be. Content creators and marketers who leveraged this brilliance in its initial days are now leagues ahead of those who are just waking up to the wonders of AI-powered videography. 

No matter where you find yourself on this spectrum, just know that AI has emerged as your most powerful creative collaborator and you must take it along as you strive to conquer the many forts of epic video creation.