Whether at work or in everyday life, artificial intelligence (AI) has become an integral part of our lives. AI helps us structure texts, answer questions, generate images, and even create video content.
AI tools are used to create and edit video content. According to studies, the market for AI video editors will continue to grow in the coming years, reaching a value of around US$1.32 billion by 2032.
Video editors combine technical know-how with creative sensitivity to turn raw material into a compelling visual story. However, this process often requires a lot of time and patience, as they have to take numerous details into account. With the introduction of AI technologies, however, video editing has fundamentally changed: Artificial intelligence helps automate time-consuming tasks and focus on the creative aspects of the work.
How does video generation with AI work?
Modern video generation with AI is based on various key technologies: diffusion models, text-to-video models, and neural network architectures.
· Diffusion models add noise to the data step by step. In video generation, they gradually turn random noise into a structured video.
· Text-to-video models translate natural language descriptions into video sequences.
· Neural network architectures: For video generation, recurrent neural networks (RNNs) are used for temporal consistency, transformer models for sequence processing, and 3D extensions of 2D diffusion models for spatio-temporal coherence.
Here is a detailed description of the process:
1. Text input and processing: The user enters a text description (prompt), a language model processes and interprets the text, and key concepts, objects, actions, and scenes are extracted.
2. Conceptual planning: A conceptual framework is created for the video, and scenes, camera movements, and the sequence of events are determined. At the same time, style, mood, and visual characteristics are defined.
3. Diffusion process: Random noise is added to each frame and then gradually removed in numerous steps.
4. Temporal consistency: The tool ensures that consecutive frames match, objects remain the same, and realistic movements and transitions are created.
5. Post-processing: Resolution, coloring, and visual effects are adjusted. The material is optimized for smooth movements and realistic physics.
What are the advantages of AI video generation?
When selecting video editing software with AI, as with any technical solution, it is important to weigh up the strengths and weaknesses. AI tools have already revolutionized everyday work, thanks in part to these advantages:
User
The intuitive operation of modern video editing software has significantly lowered the barrier to entry. Most tools are designed to promote technical understanding without overwhelming users with technical jargon. This makes high-quality video production accessible to a wider range of users.
Automation of tasks
Automation brings significant time savings for recurring technical tasks. Modern editing programs take over work steps that are normally very time-consuming.
The advances in automatic scene analysis are also noteworthy. Current AI tools can independently evaluate the quality of recordings and make meaningful editing suggestions. This does not mean a loss of creative control, but rather allows editors to focus on creative decisions while the technology takes care of routine tasks.
Reduce costs
The use of AI tools in video generation can reduce production costs by up to 30 percent – especially for companies that regularly process large amounts of video material.
Why? Because the automated organization of film material saves working time, transcription functions replace expensive specialist services, and AI-supported optimizations mean less post-processing is required.
This time savings not only means direct cost savings, but also allows teams to take on multiple projects or improve the quality of existing productions. For freelancers and small teams, the use of AI tools also offers noticeable relief and the opportunity to achieve more professional results with limited resources.
In which areas are AI-generated videos used?
AI-powered tools offer a variety of features that significantly simplify the editing process in video production. For example, they can automatically create transcripts, which is particularly useful when editing interviews or documentaries.
Rough cut
AI tools can create video transcripts in no time, automatically recognize speakers, and insert distinctive sound bites directly into a timeline. This pre-structured rough cut is a solid foundation for the rest of the editing process.
Audio editing
AI tools also help with audio editing by reducing background noise, removing filler words such as “uh” or “um,” and eliminating unwanted pauses. These automations not only save time, but also allow editors to focus more intensively on storytelling and the design of special effects.
Color correction
AI also comes into play in color correction: Intelligent algorithms analyze the image material and automatically and precisely adjust colors and contrasts to create a harmonious overall picture.
