Fig 1.
Principle of BDT.
Fig 2.
Working principle of DCNN (a: DCNN, b: The pooling operation, c: The convolution operation).
Fig 3.
Movie poster analysis model (a: Poster analysis process; b: Poster analysis principle).
Fig 4.
The model calculation process.
Fig 5.
Comparison of film poster recognition performance of different models (a: learning performance, b: calculation accuracy).
Fig 6.
Identification and evaluation results of the film poster-oriented DCNN based on BDT (a: Horror films, b: Romantic films, c: Drama films, d: Documentary, e: Action films, f: Comedies, g: Adventure films, and h: War films).
Fig 7.
The style composition of film posters analyzed by the DCNN model based on BDT (a: Group one, b: Group two).