Videos are super popular and strong ways to share stuff like info, ideas, or stories using pictures and sounds. They can be for fun, learning, or selling things, and lots of people from different places can see and like them.

But making videos is not easy. It takes a long time, hard work, and many things like writing, directing, acting, filming, editing, and sharing. You also need to be good at storytelling, filming, and editing.

The good news is, technology can help with this hard stuff! There’s something called artificial intelligence (AI) that makes machines do smart things, like learning and making decisions. AI can make video-making easier and better by doing things like putting videos together, making them look good, or figuring out what people like.

Evolution of Video Making Platforms

Video making platforms are places where you can use tools and services to make or change the pictures and sounds in a video. These tools help you create a video that looks real and shows feelings. There are different types of videos making platforms.

Traditional methods and tools

Traditional methods and tools in video making are the usual ways and equipment that use hands-on and regular ways of creating or changing the visuals and sounds in a video. They include things like cameras, microphones, and editing software.

Cameras

These are devices that use optical and mechanical ways to capture visuals like pictures or animations. They let you control the angle, focus, and lighting in your video, giving you more creativity and control.

Microphones

These devices capture sounds, voices, or music using acoustic and electrical methods. You can adjust aspects like volume, pitch, and tone, giving you more control over the auditory parts of your video.

Editing software

This is a computer program that use digital methods to manipulate visuals and sounds. You can cut, crop, or filter to enhance the quality and appearance of your video, allowing for more creativity and flexibility.

Emergence of Digital Patforms in Video Making

Digital platforms are like special places on the internet that help people make videos. These platforms use online tools to create and change the things you see and hear in a video, like pictures, sounds, or music. They make it easy for anyone to make cool and expressive videos.

These digital platforms are great because they make video-making more accessible, affordable, and easy. You can use them wherever and whenever you want, without worrying about time or place.

There are different types of digital platforms, and two examples are:

Online Video Editors

These are tools you find on the internet that use web and cloud technologies to edit videos. They are simple to use and don’t need any special installations. Examples include WeVideo, Clipchamp, or Kapwing.

Online Video Makers

These tools also use web and cloud technologies to create videos. They help generate or put together the visual and auditory parts of a video without needing you to install anything. Examples include Animoto, Biteable, or Lumen5.

Integration of AI in Video Creation Processes

AI in video creation means using smart computer programs to make or change what you see and hear in a video, like pictures, sounds, or music. This helps make videos look more real and expressive. AI in video creation can do different things to make videos better, like making faces look different or improving the sound.

There are different examples of AI in video creation, such as:

Video Synthesis:

Using AI to create or change the visual parts of a video, like images or animations, to make it look real and expressive.

  •         Face Swapping: Using AI to replace a person’s face in a video with someone else’s face, making it look real and expressive.
  •         Voice Cloning: Using AI to copy or change a person’s voice in a video to make it sound real and expressive.

Video Optimization:

Using AI to make videos look and sound better, like improving the quality or making it smoother.

  •         Super-Resolution: Using AI to increase the quality of a video, making it clear and sharp.
  •         Frame Interpolation: Using AI to make videos smoother by adding more frames.
  •         Sound Enhancement: Using AI to improve the sound quality of a video, making it clear and crisp.

Video Analytics:

Using AI to understand data about a video, like views, likes, comments, or shares, to make videos better.

  •         Sentiment Analysis: Using AI to understand the emotions and opinions of the audience about a video.
  •         Topic Modeling: Using AI to understand the main topics and themes of a video.
  •         Recommendation Systems: Using AI to suggest videos based on what people like.

Impact on User Experience

Using AI in making videos can make a big difference in how people enjoy them. It can make videos look better and be more interesting in a few ways:

Better Quality and Looks:

AI can make videos better by improving how they look and feel. It uses different tools to create or enhance the quality of the video. This improvement can help in different ways:

  •         Clearer and Easier to Understand: The video becomes clearer and easier to understand by making it simpler and more concise. It highlights the main points, making it easy to follow.
  •         More Attention-Grabbing: AI can make the video more appealing and engaging. By using visuals and sounds, like images or music, the video becomes more interesting and captures people’s attention.
  •         More Persuasive: AI can also make the video more convincing and influential. By enhancing the impact and message of the video, it becomes more compelling. Visual and auditory elements help build trust and reliability.

Improved Engagement:

AI doesn’t just make videos look better; it also makes them more engaging for the audience:

  •         Personalized Experience: It can customize the video to match the viewer’s preferences and needs. This makes the video more tailored to each person.
  •         Better Communication: AI helps in improving communication and feedback. Viewers can share their thoughts and emotions with the video or with other people watching it. This creates a more interactive experience.
  •         Enhanced Learning: AI can enhance learning by providing more insights and knowledge. Viewers can learn and improve their skills and knowledge while watching the video.

DeepBrain AI Video Making Platform

DeepBrain is like a smart computer program that makes really cool videos using advanced technology. It’s not just about making videos, but it helps people tell stories and share ideas in a creative way. DeepBrain uses fancy techniques like talking naturally, understanding pictures, and learning deeply to make videos that look real and express emotions.

With DeepBrain, you can choose what the videos are about and even customize them to make them special. It’s not just a tool for playing with pictures and videos; it’s a platform for sharing your creativity and thoughts with others.

DeepBrain cares a lot about being responsible and doing the right thing with its videos. It wants to make sure that everyone’s rights are protected, from the people making the videos to the ones watching them. DeepBrain also wants to teach people about the good and bad sides of these smart videos and how important it is to check if they’re real or not. It’s all about using this cool technology in a way that’s fair and safe for everyone.

Conclusion

AI is like a smart computer system that can do things humans normally do, like learning and making decisions. In making videos, AI adds cool features like creating new videos, making them look better, or understanding what’s happening in a video. This makes videos look nicer, express more, and convey messages better.

AI also changes how we enjoy videos by making them more interesting and engaging. It improves how videos look and how we interact with them.

But AI isn’t a perfect solution. We need to use it responsibly and ethically. That means making sure the rights and interests of the people making, appearing in, and watching AI videos are protected. We want users to understand both the good and not-so-good parts of using AI in videos. It’s important to check if what you see in the videos is real and trustworthy.