Model Based Approach for Identification of Relevant Images from Ancient Paintings

Model Based Approach for Identification of Relevant Images from Ancient Paintings

Автор: G.G.Naidu, Y.Srinivas

Журнал: International Journal of Engineering and Manufacturing(IJEM) @ijem

Статья в выпуске: 5 vol.7, 2017 года.

Бесплатный доступ

In this paper an attempt is made to retrieve the relevant paintings based on the approach of the artist using Generalized Bivariate Laplacian Mixture Model (GBLMM). This article helps in understanding the outline of assorted artists and help as a means to categorize a scrupulous painting based on the style or the text ingrained within the images. To profile the artist style GBLMM is used. The projected model helps to discriminate the strokes of the artists and lend a hand in the classification of paintings. The proposed model is implemented using high resolution Chinese painting images.

GBLMM, classification, painting, retrieval, stroke

Короткий адрес: https://sciup.org/15014452

IDR: 15014452

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