Design of Automatic Integration Algorithm for Popular Science Microanimation Works in the Context of New Media

Xiaowen Shan,Hao Chen,Rahman Ali

doi:10.1155/2021/8269439

Abstract

When traditional methods integrate popular science microanimation works, the integration effect of the animation works is not good. In this paper, we propose an automatic integration algorithm of popular science microanimation works in the context of new media. The system first analyzes the characteristics of the new media context and gives the meaning of microanimation in the context of new media. It simplifies the edge folding of popular science microanimation integration and calculates the Facial Animation Parameter (FAP) value to realize the automatic integration of popular science microanimation works. We conducted a number of experiments using various size datasets to test the proposed system. We achieved an average integration accuracy of 96.3% with datasets of 500 to 3000 animation works, having the highest accuracy of 99% with a dataset of 500 animation works. On the other hand, the integration time of the animation works was recorded just 1.25 seconds with a dataset of 3000 animation works which is much lower than the existing work.

Highlights

E most important characteristic of new media is interactivity, and the disseminator is the receiver
Literature [6] talks about the integration of work-life boundaries of female nurses in hospitals while literature [7] focuses on “work-tononwork” of workers in different organizations. The systems they proposed have lower integration accuracies that need to be enhanced, and their systems are not as time efficient as they should be. To address these limitations and to present a novel work in the area of microanimations, we propose an automatic integration system of popular science microanimation works in the context of new media. e system reads the microanimation model, loads the Face Animation Parameters, and maps them with Face Definition Parameters (FDPs) to calculate the scope of FDP influence
We will discuss the integration algorithm and its use for automatic integration of science microanimation works in the new media context

Summary

Analysis of Microanimation Work in the Context of New Media

Microanimations are small but powerful tools to make data more understandable, make the UI design better, enhance the user experience, and visualize the processes or results in a better way. New media is a creative platform for educational “microanimation,” and it can carry out intuitive evaluation of animation works. New media offers a good opportunity to educate “microanimation” makers because new media platforms are more open than traditional media and educational “microanimation.” At the same time, when traditional media broadcasts educational animation, the popularity can only be calculated by the data of audience rating. It takes a lot of statistical work to know who the main audience are, why they like them, and which characters they like. Online promotion is easy to produce small investment and big profit phenomenon. e release of educational “microanimation” should study the distribution rules of new media and actively participate in the investment so as to take the initiative in this era of scarcity of eyeballs

Automatic Integration Algorithm

Automatic Integration Scheme of Popular Science Microanimation Works

Findings

Experiments