This paper studied the movie style transfer methods based on deep neural networks,and the role of big data and machine learning in them.First,it introduced the basic concept and existing research of movie style transfer,then analyzed how artificial intelligence achieved movie style transfer,including the algorithms,techniques and methods used,and the indicators and standards for evaluation.Next,it discussed how big data and machine learning improvd the efficiency and quality of movie style transfer,expaned its scope and possibility,and created new movie styles and expression ways.Finally,this paper critically analyzed the ethical,technical and evaluation problems faced by the AI director movie style transfer methods based on big data and machine learning,and proposed some possible solutions and improvement directions.
NETL
NSTL
维普
万方数据
