Making videos is like creating a work of art and expressing yourself. It’s a way to tell stories, share emotions, and convey messages. But it’s not easy – it takes a lot of technical skills, time, and resources to make good videos.

That’s where artificial intelligence (AI) comes in. AI is like smart technology that can do things that usually only humans can do, like learning and making decisions. In the world of videos, AI has been used for a long time, but it’s become even more powerful recently because of improvements in technology.

Now, there’s something called “AI-driven magic.” This is when AI is used to make video creation better and more exciting. It has the potential to change how videos are made in the future, offering new possibilities for both creators and viewers.

The Evolution of AI in Video Making

AI has been integrated into the film and video industry since the early days of cinema, but it has evolved and improved over time, as technology and the industry have progressed and changed.

The emergence of AI in video making:

AI began making its mark in video making as a tool for creativity and expression. It was employed to create and control both the visual and audio elements, like characters, scenes, and sounds. Back in the 1990s, a system called RenderMan, which used computer-generated imagery (CGI), was used to make animations look real and lifelike in movies like Toy Story and Jurassic Park. Moving into the 2000s, a technology called Vicon, based on motion capture, was used to record and replicate the movements and expressions of actors in films like Avatar and The Lord of the Rings. 

The advancement of AI in video making:

AI got better at making videos and became a really useful tool. It was used to make the process of creating videos better and change how the videos look, using fancy techniques like deep learning, generative adversarial networks, and neural style transfer.

For instance, in the 2010s, there was something called deepfake that used AI to make or change the way real people look and sound in movies like The Irishman or Rogue One. In the 2020s, an AI video maker called DeepBrain AI is used to turn any written script or PowerPoint file into awesome videos. It had a bunch of realistic voices and avatars to choose from, over 100 of each! 

Unveiling the Future Possibilities

AI is going to keep getting better at making videos by using the newest and upcoming AI technologies like understanding language, seeing things like humans do, and learning from experience. This will open up new chances and exciting options for both the people making videos and the ones enjoying them.

Some of the upcoming AI advancements in video making are:

AI for video personalization:

In the future, AI will be able to make videos just for you, based on what you like and need. It could change how the video looks, the way it’s done, or even the format. For instance, AI might create videos that you can interact with, like in virtual reality or augmented reality, where the video responds to what you do or say. It could also make videos in different languages or formats, like adding subtitles, captions, or audio descriptions, to suit your preferences. 

AI for video collaboration:

In the future, AI will make it easier for people who make videos and those who watch them to work together. It could help them talk, coordinate, or even create videos together. For instance, AI might enable social videos like live streaming or video conferences that bring video makers and viewers together. It could also allow people to create and mix videos together, like making user-generated content or mashups where everyone contributes to the creation of the video.

AI for video innovation:

AI will encourage and spark new ideas for both video creators and viewers. It can bring in creativity, experimentation, and discovery. For instance, AI might create fresh and innovative video content in art or entertainment that challenges and delights both creators and viewers. It could also help people explore and learn about new subjects or areas, like education or science, through videos that are interesting and different.

Conclusion

AI-driven magic is like using smart technology to make videos better and more interesting. It’s not a magic trick or a wand, but a helpful tool that can change how videos are made. A mocap device is essential for capturing detailed motion data for animation and virtual reality projects. This new way of making videos has a lot of potential to make things better for both the people who create videos and those who watch them.

However, we need to be careful because using AI in videos can also bring up some important questions about what’s right and wrong. It’s crucial to think about the ethical side of things and consider how AI can impact society in both good and not-so-good ways.

To understand AI-driven magic, we should look at how it’s evolving and where it is right now. This will help us see what’s possible in the future and remind us that, even though AI is powerful, we shouldn’t forget the human touch in making videos.

So, let’s be responsible and ethical when using AI-driven magic. By doing so, we can create and enjoy videos that are not just realistic and cool, but also meaningful and inspiring. Thanks for reading!

Current State of AI in Video Making

Right now, AI is being used in different parts of video making, like getting ready to make the video, actually making it, and fixing it up afterward. AI brings lots of good things for both the people making videos and the people watching them.

Some of the existing AI technologies used in video production are:

AI for video editing:

AI helps make video editing easier by automatically picking the best shots, cutting out the parts we don’t need, and adding cool transitions and effects. Magisto, for instance, is an AI video editing tool that can quickly analyze video and audio to make a professional-looking video in no time.

AI for video enhancement:

AI makes videos look better by increasing the quality, reducing any fuzziness or noise, and making shaky videos steadier. An example is Topaz Video Enhance AI, which uses deep learning to make videos look super sharp and clear, even up to 8K resolution.

AI for video synthesis:

AI can create entirely new video content by generating fresh images, videos, or sounds or by changing and combining existing ones. Artbreeder is an AI tool that can make new images or videos of people, animals, or landscapes by mixing and changing features from original images or videos.