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.

中文翻译：

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基于人工智能和机器学习技术的动漫电影视觉新表达

随着物质生活水平的提高，精神娱乐变得越来越重要。影视娱乐作为一种较为流行的精神娱乐项目，正逐渐受到人们的关注。但近年来，电影产业发展迅速，动画电影的产量也逐年增加。如何在海量的动画电影数据中快速准确地找到用户最喜欢的电影已经成为一个亟待解决的问题。基于上述背景，本文的目的是研究基于人工智能和机器学习技术的动画电影新的视觉表达方式。本文以电影产业信息化、智能化发展升级为背景，以计算机视觉和机器学习技术为基础，探索实现电影视觉表达的新方法、新模式，并提出相关思路，从战略层面推动电影视觉表达的创新发展。本文以好莱坞动漫电影《功夫熊猫》为样本，利用卷积神经算法研究其新的视觉表达方式。研究发现，模型的参数确定后，测试集的准确率变化不大，都在57%左右。这对于提高电影作品的视听质量和创作水平，促进电影产业的健康可持续发展具有重要意义。并提出相关思路，从战略层面推动电影视觉表达的创新发展。本文以好莱坞动漫电影《功夫熊猫》为样本，利用卷积神经算法研究其新的视觉表达方式。研究发现，模型的参数确定后，测试集的准确率变化不大，都在57%左右。这对于提高电影作品的视听质量和创作水平，促进电影产业的健康可持续发展具有重要意义。并提出相关思路，从战略层面推动电影视觉表达的创新发展。本文以好莱坞动漫电影《功夫熊猫》为样本，利用卷积神经算法研究其新的视觉表达方式。研究发现，模型的参数确定后，测试集的准确率变化不大，都在57%左右。这对于提高电影作品的视听质量和创作水平，促进电影产业的健康可持续发展具有重要意义。研究发现，模型的参数确定后，测试集的准确率变化不大，都在57%左右。这对于提高电影作品的视听质量和创作水平，促进电影产业的健康可持续发展具有重要意义。研究发现，模型的参数确定后，测试集的准确率变化不大，都在57%左右。这对于提高电影作品的视听质量和创作水平，促进电影产业的健康可持续发展具有重要意义。