Classification of modern art movements with computational methods: Initial results
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the similarity between different art movements is investigated. For this purpose, five different art movements are selected and thirty paintings are determined from different painters. By using these paintings, the similarity between paintings inside art movements and from other modern art movements are shown and classified by using mathematical methods. Computational methods are used for classification. Bag of feature (BoF) and support vector machine (SVM) are utilized. Image features are extracted with BoF and these properties are classified to get histogram. These histogram data are applied to SVM for classification. In conclusion, modern art movements are classified, and based on these results the differences are discussed. © 2017 IEEE.
Açıklama
25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- Antalya -- 128703
Anahtar Kelimeler
art movement, bag of feature, classification, k-means clustring, support vector machine
Kaynak
2017 25th Signal Processing and Communications Applications Conference, SIU 2017
WoS Q Değeri
Scopus Q Değeri
N/A
