An artificial intelligence-based dynamic artistic special effect generation method and system

Abstract

The application relates to the technical field of special effect generation, in particular to a dynamic artistic special effect generation method and system based on artificial intelligence. The method comprises the following steps: collecting user artistic creation instruction flow, performing deep semantic analysis, and generating multi-dimensional semantic features; performing artistic style preference mining based on the multi-dimensional semantic features, performing artistic special effect demand analysis, and generating artistic special effect demand features; performing self-adaptive dynamic frame rate adaptation calculation based on the artistic special effect demand features, performing image frame architecture fitting, and constructing an artistic image frame framework; performing scene available maximum special effect density calculation according to the artistic image frame framework, and generating scene maximum available special effect parameters; performing intelligent dynamic artistic special effect design based on the artistic special effect demand features, and constructing a final visual optimization artistic special effect. The application realizes quick and efficient generation of fluent artistic special effects meeting user demands, improves user creation efficiency, and meets user visual experience.

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