In recent years, with the evolution of artificial intelligence (AI), a major revolution has been occurring in the field of content production. Among them, "video generation AI" is one of the technologies attracting attention in marketing and promotion.
Video generation AI is a technology that automatically generates images simply by entering text or images, and it is considered that it can significantly reduce the time and cost of creative content production. In this article, we will explain in detail the latest video generation AI technology, actual case studies, and future prospects.
Video generation AI is a tool that generates new videos based on data such as text and images using AI technology. For example, the video generation AI "sora" developed by OpenAI can generate high-quality images of up to 1 minute based on entered text. Such technology is attracting attention, particularly in the creative and business domains, because it is efficient compared to traditional video production methods and can create high-quality videos in a short period of time.
Video generation AI is a technology that can generate new videos combining video and sound just by entering text, so it exerts its effects in various scenes where it was difficult to realize with traditional video production.
Active Scenes for Video Generation AI
1.
Video Production Containing Large Amounts of Material
●Reproduction of Complex Scenes Large-scale scenes where many people or animals appear, which previously required much time and labor, can be created as high-quality visuals in a short time using video generation AI. Examples include reproducing the appearance of a bustling city or a large-scale event.
●Generating diverse variations You can generate various video variations from a single prompt. For example, in the same situation, you can create multiple videos by changing the camera angle, lighting, or the expressions of the characters.
2.
Production of Medium- to Long-form Videos
●Highly Consistent Visuals You can generate visuals that maintain high quality and consistency even for long-form videos of about 1 minute. This is particularly effective for creating story-rich videos and tutorial videos.
●Efficient production Traditionally, producing long-form video required a vast amount of time and cost, but by utilizing Generative AI for video, significant efficiency gains can be expected.
3.
Prompt-based video generation
●Easy for anyone to use A "prompt" is a word or sentence used when asking or giving instructions to AI. Even if you do not have specialized knowledge or skills, anyone can easily create videos just by giving instructions with prompts.
●Flexible Expression By giving detailed instructions in prompts, you can generate visuals just as you imagined. For example, you can create a video that matches your image by giving specific instructions such as "a dog chasing a ball under a sunset sky."
Thus, utilizing video generation AI dramatically changes the video production process. Video production, which previously required specialized knowledge or expensive equipment, becomes something anyone can do easily. Since AI generates high-quality videos as long as you have ideas, it is expected that the utilization of video content will accelerate in various fields such as marketing, education, and entertainment.
[October 2024] Available in Japan! 5 Latest Video Generation AI Tools
The importance of video content has increased, and an era has arrived where anyone can easily create professional videos. Among the numerous video generation AI tools that have appeared, as of October 2024, we introduce 5 tools that are available within Japan and particularly worthy of attention.
1.
Runway Gen-3: Generate Creative Videos with the Fusion of Art and Technology
Runway Gen-3 is a groundbreaking tool that can generate beautiful videos that look just like paintings with a single text prompt. From abstract concepts to concrete images, it shapes your imagination. Many creators in Japan also use it to produce original expressions such as art works and music videos.
Adobe Firefly Video Model: Improving workflow efficiency through integration with Adobe products
Adobe Creative Cloud users should not miss the Adobe Firefly Video Model. It integrates seamlessly with existing tools like Photoshop and After Effects, enabling a consistent workflow from design to video editing. It also supports Japanese, allowing you to produce high-quality videos with intuitive operations.
Pictory.AI: Convert Blog Articles into Videos! Easily Spread Video Content
For those who want to convert blog articles into videos, Pictory.AI is recommended. It automatically recognizes the content of the text and assigns appropriate visuals and music to generate attractive videos. Since it is also effective for SEO measures, it leads to an increase in the number of blog PVs.
FlexClip: Active in Business Scenes! Easily Create Professional Videos
For those who want to utilize it in business scenes such as presentations and promotional videos, FlexClip is recommended. With abundant templates and automatic generation functions by AI, you can quickly create high-quality videos. Japanese templates are also substantial, and it is compatible with global business.
NoLang: Specialized in Japanese! Generate natural videos
If you want to generate natural videos from Japanese text, NoLang is recommended. Since it is a Japanese-made tool, it captures the nuances of Japanese well and can create more human-like videos. A free plan is also available, so you can try it out easily.
Video generation AI is already being utilized by many companies, and cases in the marketing field in particular are increasing. Here, we will introduce video generation AI utilization cases that the Retail Voice editorial department is paying attention to.
1.
KDDI's "AI Santaro CM"
In January 2024, KDDI utilized AI technology in its popular "Santaro" series commercials. In this CM, generative AI that learned the art style of popular illustrator Boku-ri Matsumoto produced a new visual expression, achieving a unique style that was impossible with traditional methods. By introducing AI into CM production, we were able to streamline the production process while producing creative visuals.
Ito En has released a TVCM featuring Japan's first AI talent. "Katie," a virtual talent with human-like appearance and voice, was born using the latest AI technology. Katie is set with a friendly personality that matches Ito En's brand image, and her expressions and movements are natural, with a sense of presence as if a human is speaking.
In this promotion, they even designed the product package using generative AI, which became a big topic on social media. By utilizing generative AI, they have produced an impactful CM while keeping talent fees and filming costs down.
3.
BODYARMOR's "CM Rejecting Artificial Objects"
The American sports drink brand BODYARMOR utilized generative AI to intentionally create "artificial" visuals, and by rejecting them, appealed to the naturalness of their product. This method provides a strong visual impact and effectively conveys the brand's message.
These examples suggest that video generation AI has the potential to significantly change the future of CM production. As AI technology continues to evolve, we might be able to easily create amazing videos that we never thought possible before.
Benefits of Video Generation AI for Marketing
Video generation AI greatly supports our marketing activities. Specifically, there are such benefits.
1.
Cost Reduction
Traditional video production required many personnel and resources. A wide variety of costs were incurred, including camera crews, studios, talent, and equipment. However, by utilizing video generation AI, it is possible to significantly reduce these costs. By utilizing AI talent and virtual sets, actual filming becomes unnecessary, and since videos can be generated in a short time, production schedules are also compressed.
2.
Speed and flexibility
In the marketing world, there is a demand for delivering effective content quickly. If you utilize generative AI, you can produce promotional videos in a short time and respond to the market in a timely manner. Furthermore, since videos can be generated on a prompt basis, marketing personnel can immediately shape their creative ideas.
3.
Personalized Video Generation
Video generation AI can also generate personalized content based on customer data. For example, it is possible to create advertisements and promotional videos tailored to individual needs based on user purchase history and behavioral data, improving targeting accuracy.
Challenges and Prospects of Video Generation AI
There are still some challenges with video generation AI at this point. First, there is a limit to the quality of the video generated, and it can sometimes be difficult to achieve the same quality as what is produced entirely by humans, especially in complex scenes or images with a focus on detail. Also, at present, it can only generate videos of about 1 minute at the longest, and it does not yet correspond to long-form video production.
However, these challenges are gradually being resolved through technological evolution, and it is expected that higher quality and longer videos will become possible to generate in the future. Also, as AI learning data is expanded, more diverse expressions and staging will become possible, expanding the range of creative video production.
The Future of Video Generation AI
Video generation AI is expected to undergo further evolution in the future and become an essential tool in the marketing world, with development expected particularly in the following three fields.
1.
Further Advancement of Automation
Video generation AI may become more automated and capable of managing and generating entire marketing campaigns at once. A future is envisioned where AI can automatically generate every piece of content, from advertisements to landing pages to videos for social media posts, to realize consistent branding.
2.
Interactive Video Content
As generative AI technology evolves, it will become possible to create interactive content where videos change based on real-time user feedback. This will increase viewer engagement and enable more effective marketing initiatives.
3.
Creative Collaboration
Generative AI also evolves collaboration with creative experts. Higher-level creative content will be born as AI generates a base video, and creators add further editing and directing on top of it.
Summary: To a New Marketing Stage with Video Generation AI!
Video generation AI is a technology that opens up new possibilities in the field of marketing. By utilizing this technology, it will become possible to produce more attractive and effective video content in less time. Of course, ethical aspects and technical challenges exist, but by clearing these issues, we believe that corporate marketing activities can advance to a new stage.
Why not introduce video generation AI and strengthen your company's marketing strategy?
Consult BEEATS for your promotions!
BEEATS also has a proven track record in producing video content. We are experts in planning in-store promotions and events using video content, so please feel free to consult us!
A1. Generative AI for video is a tool that uses AI technology to automatically generate new footage based on data such as text or images. For example, by simply entering a text prompt like "a dog running under a sunset sky," you can create high-quality videos in a short time without specialized knowledge.
Q2. What are the benefits of utilizing video generation AI in marketing?
A2. There are 3 main benefits. The first is the reduction of costs associated with filming and hiring talent, the second is the speed and flexibility of being able to produce videos in a short period, and the third is the generation of personalized videos based on customer data. These enable efficient and effective promotion.
Q3. Please tell me recommended video generation AI tools that can be used within Japan.
A3. As of October 2024, the five tools that are particularly worthy of attention and available within Japan are "Runway Gen-3" for creating original videos, "Adobe Firefly Video Model" which can link with existing software, "Pictory.AI" for turning blogs into videos, "FlexClip" for business, and "NoLang" which is specialized for Japanese.
Q4. What kind of challenges does video generation AI have?
A4. Challenges at this point include the limitations in the quality of the generated video and the inability to support long-form video production. There are cases where reproducing complex scenes is difficult, or the video that can be generated is limited to about 1 minute, but it is expected that this will be gradually resolved through future technological evolution.