The technological revolution in the field of video is just around the corner. Major companies such as Google and Meta have made deeper explorations in the field of automatic video generation. China Securities Investment Corporation pointed out in the report that AIGC has huge room for growth in industries such as text, audio, video, and games. Qubit Think Tank also predicts that AI-generated video will have a wider range of applications in five years. This revolution will bring about a new era of video technology, with more efficient and cost-effective solutions for businesses and consumers alike.
Google has recently released two AI models, Phenaki and Imagen Video, that are capable of generating videos from a single cue word or description. Phenaki is a Text-to-Video model that can generate up to two minutes of video in minutes, while Imagen Video is based on the diffusion model and is characterized by a high resolution while being able to understand different art styles and 3D structures. Both models have been praised for their ability to create realistic videos with story-telling elements. For example, Phenaki can generate a video of a teddy bear diving, slowly surfacing, walking onto the beach, and then walking by a bonfire. Imagen Video can create videos with high resolution and a variety of art styles and 3D structures. Both models are revolutionizing the field of video generation and are set to be widely used in the near future.
Make-A-Video is an AI model developed by Meta that can convert still images into videos, generate a video based on two pictures before and after, and generate a new video based on an original video. It consists of three parts: a text image generation model, spatio-temporal convolutional layers and attention layers, and a frame interpolation network to increase frame rate and two super-resolution models to improve image quality. Make-A-Video is an upgraded version of the text image generation model and is ideal for creating videos with your mouth. It is a powerful tool for creating high-quality videos quickly and easily.
VidPress is an intelligent video synthesis platform developed by Baidu in China, which can automatically convert text to video. It is based on Wenxin large model training and can be used in various fields such as cultural entertainment, education, media, etc. In 2022, AI video content generation will become the main focus of AIGC, and the original commercialization bottlenecks of AI-generated content will be broken through. VidPress is an effective tool for creating high-quality AI-generated video content, helping to monetize and commercialize AI-generated content.
Search engine optimization (SEO) is an important part of any business’s online presence. Companies looking to maximize their visibility and reach should consider potential stocks that have a data foundation and application scenarios. For example, Netflix and Disney have both leveraged their exclusive data to create AI-generated content. Netflix has used AI algorithms to generate thumbnails that meet user viewing habits and needs, and has even released an AI-generated animated short film. Companies looking to capitalize on the potential of AI should consider investing in stocks that have a data foundation and application scenarios. With the right preparation and research, businesses can take advantage of the opportunities available to them and maximize their visibility and reach.
Bytedance and Kuaishou, two giants in the domestic short video industry, have both launched functions to convert pictures and texts into films and convert text to videos. Moviebook Technology, a domestic intelligent visual technology company, has released the AGC intelligent image production engine based on generative AI technology. This technology framework is designed to help users quickly and easily create videos from pictures and text. AI-powered video editing tools are becoming increasingly popular, allowing users to create videos with just a few keywords or a paragraph of text. This technology is revolutionizing the way people create and consume videos.
Moviebook Technology’s AGC is a revolutionary video production solution that uses MCVS technology and AI-driven deep learning to automatically generate personalized video content in a short amount of time. AGC can extract, understand, correlate and predict key frames of existing videos, divide video content into structured data, and automatically complete the markup. It also uses 3D virtual reconstruction and MAPE (Moviebook Auto-Production Engine) to generate brand new videos with artificial intelligence multi-modal semantic understanding. This technology allows for the automatic anchoring of key frames, and the generation of content that is not in the original image, creating a seamless AI visual content.
Moviebook Technology’s AI generation engine has drastically reduced the cost of producing 60s videos by 79.8% and increased productivity by 100 times compared to traditional methods. It can also retrieve similar frame images or specific images in a 60s video with 99.73% cost reduction and 10 times error rate reduction. AGC is currently being used in government services, enterprises, science and education, pan-entertainment, media, cultural tourism and other fields. It can be used for subject recognition, follow-up shooting, image quality restoration, automatic editing, and automatic video generation in the video collection and production stages, as well as intelligent review and personalized recommendations in the distribution stage. AGC is also being used in combination with digital twins to provide digital content, digital space, efficient production of digital humans, and visual interaction for improved user experience. As digital integration with industries continues to deepen, AGC will become increasingly important in the future.
ChatGPT has brought unprecedented attention to Artificial Intelligence Generative Content (AIGC) in the era of large models, and the industry is in its infancy. According to Gartner, generative AI is still 5-10 years away from maturity. However, the growth trend of AIGC is accelerating, and Qubit Think Tank predicts that by 2030, the AIGC market size is expected to exceed one trillion yuan. Movie Book, a vertical track seed player, has received the attention of the State-owned Assets Fund and set the highest financing record in China in the field of artificial intelligence visual production. This is a great opportunity for China to go ahead of the world in the AIGC industry.
