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Fig 1.

Principle of BDT.

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Fig 2.

Working principle of DCNN (a: DCNN, b: The pooling operation, c: The convolution operation).

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Fig 3.

Movie poster analysis model (a: Poster analysis process; b: Poster analysis principle).

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Fig 4.

The model calculation process.

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Fig 5.

Comparison of film poster recognition performance of different models (a: learning performance, b: calculation accuracy).

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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).

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Fig 7.

The style composition of film posters analyzed by the DCNN model based on BDT (a: Group one, b: Group two).

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Fig 7 Expand