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Computer Multimedia Art Pattern Creation Based on P-Filling Algorithm
Author(s) -
Wenli Lian
Publication year - 2021
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2021/8143000
Subject(s) - computer science , perception , function (biology) , code (set theory) , algorithm , visual arts education , quality (philosophy) , production (economics) , image (mathematics) , multimedia , artificial intelligence , art , visual arts , psychology , philosophy , macroeconomics , set (abstract data type) , epistemology , evolutionary biology , neuroscience , the arts , economics , biology , programming language
Art education is an important part of quality education in China. It undertakes the important responsibility of cultivating students' aesthetic ability, art appreciation ability, art perception ability, and expression ability. In junior middle school art teaching, the skill of pattern creation is an ability that needs to be focused on cultivating students. The computer multimedia art patterns are currently created mainly relying on manual drawing. A computer multimedia art pattern production model is proposed based on the P-filling algorithm in this paper. After using the P-filling algorithm to quickly generate a large number of fake images and retrieve the code of the most recent damaged image, the code estimates the missing content by generating a model. On this basis, the semantic P-filling algorithm and the perceptual P-filling algorithm are combined, and the unsaturated region is enlarged by improving the activation function sigmoid function, which solves the problem that the gradient is easy to disappear. Experimental results show that, through this production model, users can produce a large number of computer multimedia art patterns with hand-drawn style features through very little interaction and parameter control.

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