Mobile visual media design based on artificial intelligence and augmented reality technology

Abstract In recent years, with the development of computer and network technologies, digital video image information is emerging more more, era based on multimedia services coming to us, people’s demand for visual media content such as images becoming extensive. this paper, we use Gaussian mixture model pixel detection technology method study meet various needs users. SVM used perform classification tests 3688 Chinese painting 4827 general images. The result that positive rate national 87.25%, non-national being wrongly detected 7.63%. This indicates CCV feature also has a relatively good discriminative property focus providing technical methods design shapes sports art, thus solutions help users better access they are interested in.