Work place: Dept of Computer Engg, Govt Polytechnic, Anakapalli, Visakhapatnam - 531001, India

E-mail: gagona.ggn@gmail.com


Research Interests: Information Retrieval, Data Mining, Computational Engineering


G.G.Naidu has completed his M.Tech Degree in Computer Science and Engineering, JNT University, Kakinada. His research area includes Image Retrieval, Data Mining. Currently he is working as Head of Computer Engineering section, Govt Polytechnic, Anakapalli, Visakhapatnam, India.

Author Articles
Model Based Approach for Identification of Relevant Images from Ancient Paintings

By G.G.Naidu Y.Srinivas

DOI: https://doi.org/10.5815/ijem.2017.05.04, Pub. Date: 8 Sep. 2017

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.

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