## 2 Literature Review  
### Artificial Intelligence in the Field of Video Production  
The application of AI in video production is continually expanding the boundaries of creativity and enhancing the industry's efficiency. Advanced AI algorithms have automated editing and post-production processes, thus lowering technical barriers, and have driven innovation in content creation, visual effects, and narrative techniques. Furthermore, the use of AI technologies in enhancing personalized viewer experiences signals a trend towards more interactive and customized content creation. As AI technology continues to develop and improve, the future of video production promises a new era characterized by high efficiency, high quality, and high creativity. Scholars have been forward-looking in exploring the great potential that lies in the application of AI in the video domain, and we have conducted a systematic study based on the developmental sequence of AI generation. [PERSON] discussed how AI is impacting the media and film industries, from content delivery to audience experiences, providing personalized user experiences for video production and analysis [15]. [PERSON] focused on using AI to create 2D character animations for platform games, discussing the potential and control of generative AI in the gaming industry [16]. [PERSON] discussed the application of AI in frame compensation for video creation, which is significant for enhancing the reliability and accuracy of image creation [17]. [PERSON] examined the contributions of AI to video game animations, especially AI's role in enhancing NPC behaviors to make them more lifelike [18]. [PERSON] and [PERSON] discussed how AI is being used to automate the game development process, making it faster and less costly [19]. From the conception of scripts to the presentation of final products, the precise algorithms of AI continuously influence the entire content creation process, even impacting audience interaction experiences [15; 20]. With AI, the video editing process becomes more efficient and precise. AI tools can automatically identify and organize shots, provide editing suggestions, and even complete complex tasks such as color correction and sound design. These automation features significantly reduce post-production time, allowing creators to invest more energy into creativity and narrative construction. While enhancing production efficiency, AI also expands the boundaries of narrative and visual expression, penetrating every detail of editing, such as facilitating unprecedented innovation in visual effects (VFX) and upgrading audience interaction and narrative techniques [21; 22]. It is this technological advancement that has opened a new era for innovation and interaction in video content, making each step of the production process more precise and efficient. Additionally, AI is unlocking new possibilities in video content creation, enabling producers to generate creative scripts and storylines through natural language processing (NLP) and machine learning models [23]. These technologies can analyze vast amounts of narrative data, extracting themes and emotional tendencies, thereby assisting in the creation of content that is both compelling and emotionally resonant [24], enhancing its relevance and appeal to target audience preferences. AI's capability in understanding and analyzing audience behavior makes it a powerful tool for shaping narrative techniques and enhancing audience engagement. By analyzing viewers' watching habits and feedback, AI can help creators optimize their content to be more attractive to the target audience. Furthermore, the development of AI has lowered the barriers to creating high-quality visual effects, enabling even budget-constrained independent creators to achieve stunning visual presentations [25]. It can automatically generate complex 3D scenes, simulate real physical effects, and even create realistic environments and characters without the need for on-location filming [26].