Creative Design and Technical Analysis of Animation Public Service Advertisement Based on Ant Colony Optimization Algorithm

H. Liu
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引用次数: 1

Abstract

In order to solve the bottleneck problem of public service advertising, an analysis method of creative design and design and production technology of animation public service advertising based on the ant colony optimization algorithm was proposed. In the current creative design process of animation public service advertising, along with the improvement of people’s aesthetic requirements, it is necessary to carry out a comprehensive innovative design of its design methods and content. This paper mainly describes how to use the ant colony optimization algorithm in the actual design process to carry out the corresponding design and analysis and then improve the overall communication of advertising. The research results show that under the ant colony algorithm, the customer satisfaction rate of public service advertising design is 89%, the general rate is 10%, and the dissatisfaction rate is 1%, which is superior to the traditional algorithm. Using Flash, 3DS Max, Premiere, and other software as well as “3D simulation,” Easy Mocap motion capture, and other technologies, the production quality of animation public service advertising films has been effectively improved.
基于蚁群优化算法的动画公益广告创意设计与技术分析
为了解决公益广告的瓶颈问题,提出了一种基于蚁群优化算法的动画公益广告创意设计分析方法和设计制作技术。在当前动画公益广告的创意设计过程中,随着人们审美要求的提高,有必要对其设计方法和内容进行全面的创新设计。本文主要描述了如何在实际设计过程中使用蚁群优化算法进行相应的设计和分析,进而提高广告的整体传播效果。研究结果表明,在蚁群算法下,公益广告设计的客户满意率为89%,一般率为10%,不满意率为1%,优于传统算法。利用Flash、3DS Max、Premiere等软件以及“3D仿真”、Easy Mocap动作捕捉等技术,有效提高了动画公益广告片的制作质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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