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ABSTRACTThe emergence of AI has revolutionized video production, enabling innovative approaches in artistic creation. With self-media's rise and demand for user-generated content, AI drives personalized, efficient video production. However, research lacks comprehensive reviews of AI's impact on film and TV. This study fills the gap by analyzing AI's influence using a five-sub-field framework. Through literature integration, we assess AI video production's potential, proposing a new process paradigm. This research sheds light on AI's transformative role, guiding efficient, personalized film and TV production, and inspiring deep learning-based advancements. This paper acts as a roadmap for maximizing AI's potential in enhancing production quality and efficiency.KEYWORDS: Artificial intelligencedeep learningvideo productionfilm and television industries AcknowledgmentsWe would like to express our deepest gratitude and appreciation to everyone who contributed to the successful completion of this project.We extend our heartfelt thanks to the following individuals and organizations: The National Social Science Fund of China (18BXW060), Shenzhen Government (JCYJ20190806144609107).Furthermore, we extend our thanks to the professionals and experts in the field who provided us with valuable feedback, guidance, and support during the various stages of the project. Their expertise and constructive criticism significantly enhanced the quality and rigor of our work.Disclosure statementNo potential conflict of interest was reported by the author(s).
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Huang et al. (2023) studied this question.
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