- What is Generative Video AI? Benefits, Use Cases, and Top Tools
What is Generative Video AI? Benefits, Use Cases, and Top Tools
Published :
January 29, 2024
In recent years, the application of generative AI in business and the creation of new services using it have become increasingly active. You may have even used a generative AI tool yourself.
The role of generative AI is particularly significant in video production, and many people are likely considering how to make the most of it.
This article comprehensively covers everything from the basics of what video generation AI is and how it works, to specific use cases, impressions of using actual services, and challenges when using it.
What is Video Generation AI?
Video generation AI is an AI tool that automatically generates videos in response to instructions (prompts) entered by a user.
What Video Generation AI Can Do
Specifically, it can do the following:
Generate videos from prompts (text input)
Turn still images into videos
Process videos into specific styles (e.g., dramatic, animated)
VFX (e.g., removing specific objects)
In this way, it can not only generate videos, but also make detailed adjustments in video production.
Use Cases of Video Generation AI
Some of you researching video generation AI may have already seen it used in business, hobbies, or other areas.
Here are some specific use cases to show you how it's actually being used.
Marketing Content Creation
One is the creation of various marketing content such as promotional videos.
Compared to still images and text, videos convey the most information to the viewer, and in recent years, short-form videos (here, videos of about 15 to 60 seconds) have become particularly popular.
You can easily generate video content that reaches consumers and users most efficiently using AI tools.
For example, after a sports game, you can measure the loudness of the audience's cheers, extract the most exciting scenes, and generate a highlight video.
Video content creation combined with other technologies like this is also progressing.
Educational Material Creation
The second is the creation of educational videos in the classroom.
Currently, the government is promoting the use of digital technology, including AI, and promoting DX to realize a digital society, and the education field is one of them.
Video content for skills and literacy education is provided for a wide range of ages, and video generation AI is also used in these.
Job Titles Related to Video Generation AI
We've seen that video generation AI is already being used in various situations.
So what kind of job titles actually use video generation AI? Here are some examples.
AI Engineer
The first is an AI engineer.
As the name suggests, an AI engineer is an engineer with specialized knowledge of AI and technology specialized in it.
With the rapid development of AI technology in recent years, the market size of the domestic AI business is also expanding, making it a very valuable job title.
If you have programming skills or knowledge of machine learning, or even if you don't, if you are good at mathematics or logical thinking, why not give it a try?
Project Manager
The second is a project manager.
This role is responsible for managing the overall progress of a project.
They are responsible for everything including budget and personnel management, progress management, and quality control of deliverables, and are a widely sought-after job title, not limited to video generation AI.
They will be essential in the development of services and tools related to video generation AI in the future.
Data Scientist
The third is a data scientist.
Data scientists analyze the vast amounts of data accumulated by companies and use it to develop business strategies. They are widely sought after in areas where AI and big data are used.
They are a job title that can be active in utilizing video generation AI by utilizing their excellent data analysis skills and knowledge of statistics.
Benefits of Video Generation AI
Efficient and High-Quality Video Production
By utilizing generative AI, it is possible to significantly shorten the time required for video production, which is usually said to take several days to several weeks.
In video production, it is necessary to decide not only the overall composition but also the detailed nuances in advance, but it is possible to create several videos using video generation AI and refine the content through trial and error.
No Specialized Knowledge or Skills Required
When it comes to video production, there are many people who acquire skills on their own due to the rise of video SNS such as YouTube and TikTok in recent years, and there are also many tools and apps that can be easily created, but originally it was a monopoly of the broadcasting and advertising industries. That is to say, it is a task that requires specialized knowledge, specialized equipment, and tools.
With the rise of video generation AI, anyone can create videos with just one input instruction, without specialized knowledge or skills.
Marketing Personalization is Possible
Until now, due to financial and time costs, most companies only had content for the entire company, such as company introductions and product introductions.
In the future, it will be possible to use video generation AI to provide personalized support, such as preparing individual video content for each target user divided into specific segments.
Disadvantages of Video Generation AI
In the previous section, we introduced the advantages of video generation AI, but there are also disadvantages because it is still an immature area.
Here are two representative disadvantages that you should know in particular.
Cannot Specify Detailed Requirements
The first is that you cannot specify detailed requirements.
It is difficult for video generation AI to sense detailed nuances in the prompts that humans enter, and it is not possible to adjust the atmosphere of the video or place specific effects according to the atmosphere.
Therefore, it is a good idea to start by considering the use of AI for simple explanatory videos or advertising videos.
Videos May Become Monotonous
The second is that videos can become monotonous.
Video generation AI generates based on learned data, so it tends to generate videos with similar patterns and compositions.
In particular, if a specific person continues to enter prompts, the style that the person prefers will be strongly reflected, so even if the message you want to convey is different, the videos may all have a similar atmosphere.
In this case, viewers may get bored easily, leading to decreased satisfaction and departure from the content.
If you value video quality or want to generate a wide variety of videos, human intervention is required as needed.
8 Recommended Video Generation AI Services
Next, here are eight recommended video generation AI services.
Runway
Runway is a service released by Runway AI, Inc., an AI startup company founded in New York, USA in 2018.
Research and development are still actively underway as of 2024, and Gen-2 has been released as the latest tool at this time.
As a function, it not only generates videos from text, but also automatically selects detailed parts, so even beginners can edit like a pro. Paid plans are also available, but it can currently be used for free.
Sora
Sora is a video generation AI service developed by OpenAI in the United States.
You can generate videos up to 1 minute long by typing in text. The quality of the generated videos is also high, and I was surprised at how high quality the video examples published on the HP were.
There are various sample examples of people, animals, characters, landscapes, vehicles, etc., so why not expand your image of how to use it while looking at the HP?
Synthesia
Synthesia is a service provided by the synthetic media company of the same name, founded in 2017 by researchers and entrepreneurs from UCL, Stanford, TUM, and Cambridge.
Major features include over 150 diverse AI avatars and video templates, and multilingual support for over 130 languages.
It is a video generation AI platform that combines the ease and quality of video production, and is particularly useful for corporate promotional videos and educational content.
Currently, only paid plans are offered to individuals and companies.
Pictory
Pictory is a service that began to be offered in the United States in 2020.
Pictory's feature is that it can automatically add captions to generated videos. It is equipped with an automatic translation function, and can support not only the original language but also multilingual captions.
Currently, you can generate up to 3 videos for free.
KaiBer
KaiBer is a video generation AI tool that has attracted attention as a tool used in the production of the entire music video "Fighting Myself" by the world-famous rock band "Linkin Park."
In addition to generating videos from text and still images, it can also automatically extract and edit scenes from videos, and has functions to improve the efficiency of video production.
Currently, a smartphone app has also been released, making it easier to produce videos.
GliaCloud
GliaCloud is an AI video generation platform specializing in video conversion of events, provided by GliaCloud, a Taiwanese company.
It is possible to convert content such as news, social media posts, and live sports events into videos of about 30 seconds to 1 minute.
It is one of the tools that is easy to start with, as the service site has a Japanese version, which is rare for AI-related services.
InVideo
InVideo is a service provided by InVideo, founded in San Francisco, USA.
It is strong in linking with SNS such as YouTube, and is characterized by the availability of a wide variety of templates according to the purpose and channel of the video.
Currently, you can generate videos with the InVideo watermark logo for free for up to 10 minutes per week.
Lumen5
Lumen5 is a service provided by Lumen5, a Canadian company.
With Lumen5, you can automatically generate videos from materials such as blog articles and text.
You can create authentic videos with intuitive and easy-to-understand operations such as clicking and dropping.
Issues and Points to Note in Video Generation AI
Next, we will introduce the issues of video generation AI and points to note when using it.
Truth of Information
The first is that it is necessary to confirm the truth of the information in the generated video.
AI only generates videos by learning from the original data, and cannot judge the correctness of the information.
Therefore, it is difficult to ensure accuracy and reliability, and it is necessary to check with the human eye one by one.
Especially in education and reporting, careful verification and confirmation by experts are essential.
Copyright
The second is to avoid risks related to copyright and rights.
As mentioned above, the generated content is only generated by learning from the original data.
In order to reduce the risk of copyright infringement of this original material, appropriate license management and legal measures are important.
As a countermeasure, it is necessary to accurately state the source of the materials used and cooperate with experts as needed to reduce legal risks.
Ethical Issues
The third is to avoid ethical issues.
Video generation AI cannot grasp the delicate nuances and emotions that people have.
Therefore, for example, videos can be generated without distinguishing between content that violates ethical standards such as human rights.
It is necessary to monitor each time and establish appropriate guidelines to prevent negative effects on society and individuals.
The Future of Video Generation AI
We have introduced various aspects of video generation AI so far.
Although there are many disadvantages and issues, the benefits that companies and individuals can enjoy are immeasurably greater than those.
In the future, the accuracy of generated videos and the tuning of delicate nuances will be further advanced, and it is expected that most videos will be produced by AI in the future.
Why not shift to production activities that are different from before by actively using them in your life and work?
Summary
In this article, we explained the mechanism of video generation AI, recommended services, and points to note.
Video generation AI has immeasurable benefits for companies and individuals, but it also has issues such as rights issues and fake video generation, and it is still a technology under development.
Addressing these challenges and maximizing the potential of AI will undoubtedly be the key to the video production industry in the future.
I hope this article has helped you deepen your understanding of video generation AI.
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