Abstract
Abstract When traditional methods collect graphic aided visual elements in print advertising, there are some problems, such as low feature extraction rate and low efficiency of visual communication. Therefore, this paper designs an active communication algorithm of graphic aided visual elements in print advertising. This paper analyzes the types of graphic aided visual elements in print ads and analyzes the feature vectors of graphic aided visual elements in print ads by mapping subgraphs; the variance matrix and covariance matrix of graphic auxiliary visual elements in print advertising are constructed by normalizing the graphic auxiliary visual elements with a one-dimensional function. The active communication algorithm of graphic auxiliary visual elements in print advertising is designed by an orthogonal transformation matrix. Experimental results show that this method can effectively improve the visual recognition rate and visual communication efficiency of auxiliary elements.
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