Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327848
Type: Congresso
Title: From Impressionism To Expressionism: Automatically Identifying Van Gogh's Paintings
Author: Folego
Guilherme; Gomes
Otavio; Rocha
Anderson
Abstract: Curators, art historians, and connoisseurs are often interested in determining the authorship of paintings. Machine learning and image processing techniques can assist in this task by providing non-invasive, automatic, and objective methods. In this work, we study the automatic identification of Vincent. van Gogh's paintings using a Convolutional Neural Network that extracts discriminative visual patterns of a painter directly from images, and a machine learning classifier allied with a fusion method in the final decision process. We divide each painting into non-overlapping patches, classify them individually, and then aggregate the outcomes for the final response. We find out that using the patch with highest confidence score leads to the hest result, outperforming the traditional voting scheme. We also contribute with a new and public dataset for van Gogh painting identification.
Subject: Painter Attribution
Cnn-based Authorship Attribution
Data-driven Painting Characterization
Editor: IEEE
New York
Rights: fechado
Address: http://ieeexplore.ieee.org/document/7532335/
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000390782000029.pdf755.11 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.