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基于深度学习的电影智能化摄制技术研究

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近年来,深度学习(DL)技术在不同领域应用广泛,极大提升了各行业的生产效率.随着电影工业的发展,为更好将深度学习技术应用服务于电影产业,促进电影工业提质升级,本文以电影摄制全流程为主线,结合先进技术与实际应用,对目前深度学习技术在电影智能化摄制各个环节上的研究进展进行了梳理与回顾,并结合现状对深度学习与电影摄制结合的发展需求和未来趋势进行了分析与展望,分析得出目前深度学习主要在语义分割与图像增强等方面已有较成熟应用,未来研究人员应在更具创造性的环节上加强研究,并更加关注版权规范.
Research on intelligent filmmaking technology based on deep learning
Deep learning technology has been widely used in different fields in recent years,significantly improving produc-tion efficiency in various industries.As the film industry has moved to a stage of high-quality transformation and develop-ment,to apply deep learning technology to the film industry and promote its quality and upgrade,this paper focuses on the whole filmmaking process.We combine advanced technology and practical applications,compiling and reviewing the cur-rent research progress of deep learning technology in various aspects of intelligent filmmaking.This paper also analyses the development and offers a prospect of the future trends of combining deep learning and filmmaking.According to the analysis,deep learning has mature applications in semantic segmentation and image enhancement,and researchers should strengthen research in more creative aspects and pay more attention to copyright regulations in the future.

Deep LearningFilmmaking TechnologyNeural NetworkGenerative ModelIntelligent

胡堃、解沛

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悉尼大学计算机科学学院,澳大利亚新南威尔士州 2006

中国电影科学技术研究所(中央宣传部电影技术质量检测所),北京 100086

深度学习 电影摄制技术 神经网络 生成模型 智能化

2024

现代电影技术
广电总局电影技术质量检测所

现代电影技术

CSTPCD
影响因子:0.149
ISSN:1673-3215
年,卷(期):2024.(3)
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