However, the traditional film and television technology has been unable to meet the needs of the market in the current state of scientific and technological development and the continuous transformation of the social environment. Film posters play a crucial role in film development and advertising. Currently, posters are one of the most dominant art forms, especially in the film and television industries. With the progress of science and technology, many information communication technologies have emerged, and film and television technology has become the mainstream information communication technology model. This work provides a reference for the optimization of the design method of movie posters and contributes to the development of the movie industry. Compared with other models, the performance of this model is more outstanding in all aspects, which shows that this work has achieved a great technical breakthrough. Moreover, the evaluation of the model in the movie poster style composition suggests that the style composition of movie poster production dramatically varies in different films, in which movie posters focus most on movie product, style, and theme. In addition, the recognition accuracy of the model designed here in movie poster classification recognition is generally between 60% and 85% in performing theme, style, composition, color scheme, set, and product recognition of movie posters.

Meanwhile, the accuracy rate of the model is also stable at the number of iterations of about 500, and the accuracy rate of the model is around 0.9.

Besides, the learning rate of the model is basically stable when the number of iterations is about 500. The results demonstrate that the learning curve of the CNN model reported here is the best in the evaluation of model performance in movie poster analysis.

Finally, a movie poster analysis model is designed based on Convolutional Neural Network (CNN) technology under DL and is evaluated. Then, the concept of movie poster analysis based on Deep Learning (DL) technology is analyzed under Big Data Technology. First, the design concept of high grossing movie posters is discussed. This work aims to improve the publicity effect of movie posters and optimize the marketing efficiency of movie posters and promote the development of film and television industry. With the development of science and technology and the continuous changes of social environment, the development prospect of traditional cinema is worrying.

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