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AI for Videos: Application of AI in Video Editing and Publishing

Published Mar 7, 2023·9 min read·Beginner
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AI is finding its use in everything that we do. From smart assistants to AI-generated images, the horizon of AI is expanding. Companies are snagging millions of funds to power their AI-driven video editing and production tools. Others are experimenting with the power of AI video editing tools and the production left-right-center.

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One example is YouTube’s recent announcement of rolling out generative AI features for its users in the coming months. This will help YouTube users to create generative images from texts 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 look into how AI for Videos changes the video landscape and understand what kind of apps enable this. 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 are popping up daily, trying to fill in one gap or another in a particular niche its competitors failed to recognize. 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 video editing tools that offer good features at an almost Start Trek level!

One such is Google’s AI video editor – Dreamix. Dreamix ups the video editing by a few notches, offering video modifications via text prompts. The basic framework is that it takes a video, adds noise, then adds a video diffusion model and text prompts to redirect the video. Pretty advanced, huh!

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