Yu-Feng Huang, ShiJuan Lv, Kuo-Kun Tseng, Pin-Jen Tseng, Xin Xie, Regina Fang-Ying Lin
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引用次数: 1
Abstract
ABSTRACT The 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.
期刊介绍:
Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.