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Machine Learning-Enabled Development of Model for Japanese Film Industry

Authors :
Wang Xiao-ling
Liu Zhi-long
Zamira Madina
Source :
Security and Communication Networks. 2022:1-9
Publication Year :
2022
Publisher :
Hindawi Limited, 2022.

Abstract

Not only are numerous components absorbed and modified in terms of movie subjects, but also various art forms like painting and music are researched and examined in the production of Japanese cinema, resulting in the development of film styles with national characteristics. The fundamental role of film industrialization is to increase production efficiency, reduce industry risks, create job opportunities, and provide related technologies and services for professional creative people, so that the creativity crystallization of all industry insiders can become an invisible creative power and tangible economic values in the economy and can circulate continuously within the overall film industry structure. On the basis of summering and analyzing of previous research works, this article expounded the research status and significance of Japanese film industry, elaborated the development background, current status, and future challenges of film industry model, introduced the creation and production of genre films in Japanese film industry, established the relationship between personalized creation and market trend of Japanese films, proposed the competition and cooperation model for the distribution of local and imported films, analyzed the market share of sequel and anime films in Japanese film industry, conducted the analysis of terminal construction changes and localized cinema lines operation, and discussed the exploration and management model of film screening bodies. The research results of this article provide a reference for further researches on the development model of Japanese film industry.

Details

ISSN :
19390122 and 19390114
Volume :
2022
Database :
OpenAIRE
Journal :
Security and Communication Networks
Accession number :
edsair.doi.dedup.....496c41f108ea9f74fe49e20c80ae83af