Research on intelligent analysis algorithms for animated characters

Abstract

With the increasing computing power of computers and the increase in data scale, artificial intelligence has entered a new era of prosperity and development. However, since there are very few artificial intelligence applications in the animation industry, there is still a lot of room for automatic generation of animation covers and intelligent editing of animation highlights. In this paper, we proposed an intelligent analysis algorithm for animated characters based on target detection. This is a multi directional improvement of the SSD target detection algorithm. In the initial stage of the experiment, increase the number of data and select a pre network structure with high feature expression ability. Then, the performance is improved by setting an appropriate default box shape according to the annotation characteristics of the anime character. The accuracy of the results was improved by 10% compared to t he results at the beginning of the experiment.