Abstract
With the improvement of material living standards, spiritual entertainment has become more and more important. As a more popular spiritual entertainment project, film and television entertainment is gradually receiving attention from people. However, in recent years, the film industry has developed rapidly, and the output of animation movies has also increased year by year. How to quickly and accurately find the user’s favorite movies in the huge amount of animation movie data has become an urgent problem. Based on the above background, the purpose of this article is to study the new visual expression of animation movies based on artificial intelligence and machine learning technology. This article takes the film industry’s informatization and intelligent development and upgrading as the background, uses computer vision and machine learning technology as the basis to explore new methods and new models for realizing film visual expression, and proposes relevant thinking to promote the innovative development of film visual expression from a strategic level. This article takes the Hollywood anime movie “Kung Fu Panda” as a sample and uses convolutional neural algorithms to study its new visual expression. The study found that after the parameters of the model were determined, the accuracy of the test set did not change much, all around 57%. This is of great significance for improving the audiovisual quality and creative standards of film works and promoting the healthy and sustainable development of the film industry.
Highlights
The rapid development of the Internet industry has brought great convenience to users, and at the same time, the amount of information has exploded at an exponential level [1, 2]
Machine learning-based systems have accuracy rates of 89.58% and 85.58% at the 95% confidence intervals (77.83, 95.47) and 85.42% confidence intervals (72.83, 92.75), respectively. These results indicate that for rugby, for a limited time in a particular game, the evidence is insufficient to show that at a significance level α = 0:05, human agents are superior in terms of accuracy in predicting game results compared to machine learning methods
Since different hyperparameters will have a greater impact on the final result during the training of the neural network, multiple combinations are used to verify the actual effect of the algorithm
Summary
The rapid development of the Internet industry has brought great convenience to users, and at the same time, the amount of information has exploded at an exponential level [1, 2]. The visual performance of film is an eternal topic in the field of film. It cannot be separated from the development of the times, the progress of the industry, and the development and application of new technologies [3]. The visual performance of the film, combined with the informatization and intelligent evolution of the whole society, needs to correspond to the times and continuously improve the visual impact of film works [5, 6]. It is very important to innovate the visual performance of movies, explore new ways of visual performance of movies, and meet the characteristics of the times and industry needs [7, 8]
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