How AI has changed video production across the board

September 28, 2024
Vlad Lapich

AI is being implemented at all stages of video creation - from idea generation to final post-production processing - automating processes, improving production quality and reducing costs. It allows professionals to focus on the more creative aspects of their work, leaving the routine and technical tasks to algorithms.

woman in black busy with post-production video, background window, on the table lamp shines warm light

Optimization with AI

AI in video production can significantly improve process efficiency and reduce costs. Automating routine tasks such as sorting and classifying materials reduces the burden on teams. As a result, creative professionals can focus on the important aspects of a project.

In addition, AI helps optimize budgets. Automated planning and resource allocation cuts lead times in half, reducing the cost of organizational processes. Through risk prediction and adaptive management, AI helps avoid delays and minimize financial losses.

The benefits of AI in video production

AI offers many benefits that are transforming video production processes:

  1. Time savings: Automating routine tasks such as editing and color correction, and according to McKinsey, AI tools reduce work time by 20-30%, helping to speed up projects and improve quality.
With generative AI added to the picture, 30 percent of hours worked today could be automated by 2030
  1. Cost reduction: AI analyzes trends and audience preferences to help optimize production processes and reduce costs, allowing resources to be directed to the most promising projects and avoiding financial waste.
  2. Improved quality: AI tools not only improve image and sound quality, but also help generate new ideas for content. This speeds up creative processes and ensures high accuracy and relevance to audience needs.

The role of AI at every stage of video production

AI plays a key role in every stage of video production, from ideation to final processing.

With this technology, significant optimization can be achieved at every step:

  1. Generating ideas with AI

AI analyzes trends and audiences, suggests relevant content ideas and popular topics that appeal to the target audience. For example, AI tools such as OpenAI GPT or Google AI are able to suggest new ideas based on fresh information. This reduces brainstorming time and helps create content that will be relevant to viewers many companies are already using AI to predict trends and audience preferences.

GPT chat Generates 10 ideas for a video showcasing a company's product

  1. AI for scripts and texts

The use of AI has made scriptwriting much easier and faster. Tools like ScriptBook and WriterDuet can analyze tone, style, and structure, helping screenwriters create dialogue, scene descriptions, and even entire scripts tailored for different audiences and platforms. This makes the writing process more flexible. The use of artificial intelligence in scripting helps to improve the quality of scripts and customize content for different media channels.

AI management at the stage of preparation and production

In the preparation phase, artificial intelligence can be used to manage video production processes, it helps to avoid inaccuracies in planning.

Tools such as Trello with AI or Monday.com provide the ability to assign tasks and predict their successful completion based on data from previous projects. AI can automatically track progress, identifying potential delays and offering solutions to address them. This can help reduce lead times and improve the overall organization of the filming process, making management more predictable and efficient.

AI in the video production preparation phase

At the video production stage, AI is helping to automate location selection, storyboarding, and shoot planning. For example, Scenechronize uses AI to optimize shooting schedules and logistics. This saves time and helps avoid scheduling errors. AI can also analyze weather, traffic, and other factors affecting the filming process, so you can prepare for potential challenges in advance.

AI in the manufacturing process

AI is being used extensively at the production stage itself, especially to automate cameras, drones and other technical tools. Cinelytic systems can analyze footage in real time, automatically improve angles, lighting and sound quality. This reduces reshoots and improves the overall quality of the footage.

AI in post-production

Post-production has always been one of the most time-consuming stages in the video creation process, including editing, color correction, sound processing and special effects. With the introduction of AI, many processes have become faster and more accurate.

Automation of assembly and processing

One of the key tasks of artificial intelligence at the post-production stage is to automate editing. Algorithms can analyze video footage and automatically select the best shots, create smooth transitions and even do initial color correction.

Programs such as Runway allow you to automatically divide footage into scenes, offering pre-rendered versions of the montage.

The advantages of automating installation:

  • Time savings. AI can perform the initial assembly of materials in minutes, whereas a human would spend hours.
  • Frame optimization. AI analyzes each scene and selects the best shots based on facial expressions, composition, and lighting.
  • More accurate color correction. Advanced AI algorithms can automatically correct colors, making images more natural and pleasing to the eye.

Sound processing and visual effects

In addition to video editing, artificial intelligence is used to process sound and create visual effects.

Basic AI capabilities in sound processing:

  • Sound enhancement. Removing noise, equalizing volume, improving voice clarity.
  • Analysis and correction. Algorithms can analyze the audio track, remove noise, and improve recording quality.
Adobe Sensei is an AI platform that allows you to improve the sound in your video, making it cleaner and more balanced.

AI for special effects

In the field of visual effects, AI is also making great strides forward. Generating complex effects that used to require hours of manual work can now be done in minutes. For example, algorithms can automatically remove chromakey (green backgrounds), do object tracking in the frame, and add effects such as smoke or fire without the need for specialist input.

The benefits of AI for special effects:

  • Automatic object tracking. AI-based programs can automatically track the movement of objects in the frame, making it easier to add effects and animations.

The future of video production with AI

AI has already become an integral part of video production at LV PRODUCTIONS, and its role continues to grow. In the coming years, we'll see even more automation at all stages of video creation - from trend prediction and automated scripting to fully autonomous shoots with drones and robotic cameras. In the future, AI technologies will be able to reduce production time by 50% by automating routine tasks and speeding up post-production.

Algorithms that utilize artificial intelligence will not only speed up production processes, but will also open up new creative opportunities, changing approaches to content creation and improving production quality. The future of video production is a symbiosis of creativity and technology.

FAQ

How is AI used in video production?
AI is utilized at every stage of video production, from idea generation and scriptwriting to editing, sound processing, and visual effects. It automates routine tasks such as sorting, color correction, and scheduling, helping video professionals focus on creative aspects while improving efficiency and reducing costs.

Is there an AI that can make videos?
Yes, there are AI tools like RunwayML and Pictory that help create videos by automating editing, generating transitions, and even suggesting content ideas. AI models like OpenAI’s GPT can assist with scriptwriting, and other AI systems can generate entire video projects from start to finish.

Can AI replace video production?
AI can assist with many aspects of video production, but it is unlikely to fully replace human creativity and decision-making. Instead, AI complements video professionals by automating technical tasks and enhancing overall production quality.

How is AI used in production?
In production, AI is used to manage tasks like scheduling, location planning, camera automation, and drone control. It optimizes shooting processes, analyzes footage in real-time, and helps ensure higher-quality results with fewer reshoots.

Will AI replace the film industry?
AI will not replace the film industry but will transform it by streamlining workflows, reducing costs, and enabling creators to experiment with new technologies. AI enhances creativity by freeing up time for innovation and reducing technical burdens.

Can AI improve video quality?
Yes, AI can significantly enhance video quality. It automates processes such as color correction, noise reduction, and visual effects, ensuring consistency and precision. AI tools can also optimize resolution, lighting, and sound, resulting in high-quality video outputs.