The Fourth Industrial Revolution, driven by AI and big data, has penetrated virtually all industries in the world. This includes filmmaking. AI tools are capable of more than just resurrecting actors who have died. They can also scale up humans by performing tasks faster.
Questions remain about AI’s ethics, uses, and implications, including its subsets, machine learning (ML), and deep learning. For example, some experts believe AI will create jobs, but others disagree. This is especially true for creative industries that were once considered safe from AI disruption.
How AI can help filmmakers and video producers?
AI can help video workflows in so many ways that it’s almost impossible to list them all. Instead, we will focus on a few of the most important areas, and the common theme is that AI tools save both time and money.
AI tools have been used in video editing for a long time. Although there are AI video generators, the majority of AI tools for video edit help human video editors.
For example, Marquee tools, such as Premiere Pro, provide AI tools that automatically perform color matching and aspect ratio changes.
Other tools, such as Runway, allow editors to rotoscope footage and mask it in minutes using ML. This is a significant change from the traditional methods, which typically take several hours. One of the newest video editing tools include DreamStudio AI.
Casting and Scriptwriting
AI can assist in casting decisions through the analysis of audience and performance data. This allows for the selection of the right actor to play a role. Casting directors upload their screenplays into AI tools like Largo.ai to analyze which actors are most likely to monetize a role or pose the greatest risk.
As with any AI tool that is good, it’s the human who makes the final decisions. Here, this would be the casting director. It’s a better decision that takes less time and effort.
This technology can also be used to create scripts. For example, Google’s DeepMind developed a tool named Dramatron, which uses large language models to create rough scripts for movies, TV shows, or plays. The AI-generated screenplays include a title, character description, dialogue, and scene descriptions.
Here are a few examples of AI uses in scripts:
- Generating Ideas and Plotlines: AI can help create original story ideas while creating plotlines that are more likely to connect with audiences.
- Predicting Box Office Success: AI can use data from past box office hits to forecast the likelihood of success for new films, providing insight that can guide decisions regarding which scripts should be pursued and how best to market them.
- AI can streamline the writing process: AI can assist writers by automating various aspects of writing, such as formatting, spelling and grammar checks, and basic dialogue creation.
- Personalizing the viewing experience: AI can analyze audience data to detect individual preferences and create tailored content tailored specifically for them.
- Enhancing post-production: AI can be used to analyze footage and suggest edits and special effects that would improve its final product.
Many individuals are concerned about the effect AI writing tools will have on content marketing job. Only time will show if AI is a threat or not.
AI is already a part of pre-production. It can help plan filming schedules and find shooting locations that match script requirements by analyzing data from real-world environments. It can also organize footage so editors are able to find specific scenes and camera angles faster.
AI can be used to accurately budget and simplify pre-production in terms of logistics, design, and organizing a film. This includes everything from budgeting to casting to location breakdowns, wardrobe, and props.
Visual Effects (VFX).
We have already discussed how AI can reanimate dead actors and how machine learning can speed up manual tasks such as masking and rotoscoping. It has also streamlined the VFX Pipeline, automating 3D modeling and image processing.
AI can also be used to enhance lighting, create digital backgrounds, and de-age actors. In addition, its ability to scan scenes and classify items can speed up the VFX.
Crews can compose music using AI-enabled programs such as Dynascore. AI composition software creates music that is tailored to match a screenplay and its actions.
Sony Computer Science Laboratories developed Flow Machines to help human music composers create chords and melodies that fit their style.
It is rare to find videos or films entirely created by AI without human involvement. However, a computer artist won the Jury Award at the Cannes Short Film Festival for The Crow, a text-to-video AI-generated movie.
Adrian Seltzer is another non-filmmaker who has recently received acclaim. He created Salt using a combination of AI tools, including Stable Diffusion and Midjourney.
Though artificial intelligence (AI) can be an invaluable asset to filmmaking, it should not replace human writers and filmmakers in terms of creativity. Successful movies require a balance between technology and human creativity to succeed.