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首页> 外文期刊>Journal of Sensors >New Visual Expression of Anime Film Based on Artificial Intelligence and Machine Learning Technology
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New Visual Expression of Anime Film Based on Artificial Intelligence and Machine Learning Technology

机译：基于人工智能和机器学习技术的动漫电影的新视觉表达

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摘要

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.
机译：随着物料生活水平的提高，精神娱乐变得越来越重要。作为一种更受欢迎的精神娱乐项目，电影和电视娱乐逐渐受到人们的关注。然而，近年来，电影业已经发展迅速，动画电影的产量也增加了一年。如何在大量动画电影数据中快速准确地找到用户最喜欢的电影已成为一个紧急问题。基于以上背景，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的新视觉表达。本文将电影业的信息化和智能开发和升级为背景，使用计算机视觉和机器学习技术作为探索新方法和实现电影视觉表达的新模型的基础，并提出了促进电影创新发展的相关思考来自战略层面的视觉表达。本文将好莱坞动漫电影“Kung Fu Panda”作为一个示例，并使用卷积神经算法来研究其新的视觉表达式。该研究发现，在确定模型的参数后，测试集的准确性没有变化，所有约为57％。这对于提高电影作品的视听素质和创造性标准以及促进电影行业的健康和可持续发展，这具有重要意义。

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