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- W2404008216 abstract "In recent years, it has been required to record the traditionally important painting as digital data. Classification of the painting style of painting by a computer is required. The painting style of painting is characterized by such as colors, brushstroke and texture of the painting. When we classify the huge data of the painting, we should recognize the painting style of painting by using an image recognition method. In this study, we discuss a new approach to achieve the objective classification and identification of the painting style of paintings using the image recognition approach. Bag of Visual-words was used in this work. That has been widely used in the field of image recognition. At the learning of the feature, Support Vector Machine (SVM) was used as the machine learning method. In the experiment, accuracy of the classification attain 72%." @default.
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- W2404008216 date "2016-01-01" @default.
- W2404008216 modified "2023-09-27" @default.
- W2404008216 title "Image Classification for the Painting Style with SVM." @default.
- W2404008216 doi "https://doi.org/10.12792/iciae2016.046" @default.
- W2404008216 hasPublicationYear "2016" @default.
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