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How Convolutional Neural Networks Remember Art (CROSBI ID 663957)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Cetinić, Eva ; Lipić, Tomislav ; Grgić, Sonja How Convolutional Neural Networks Remember Art // Proceedings of the International Conference on Systems, Signals and Image Processing - IWSSIP 2018 / Planinšič, Peter ; Gleich, Dušan (ur.). Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), 2018. doi: 10.1109/IWSSIP.2018.8439497

Podaci o odgovornosti

Cetinić, Eva ; Lipić, Tomislav ; Grgić, Sonja

engleski

How Convolutional Neural Networks Remember Art

Inspired by the successful performance of Convolutional Neural Networks (CNN) in automatically predicting complex image properties such as memorability, in this work we explore their transferability to the domain of art images. We employ a CNN model trained to predict memorability scores of natural images to explore the memorability of artworks belonging to different genres and styles. Our experiments show that nude painting and portrait are the most memorable genres, while landscape and marine painting are the least memorable. Regarding image style, we show that abstract styles tend to be more memorable than figurative. Additionally, on the subset of abstract images, we explore the relation between memorability and other features related to composition and color, as well as the sentiment evoked by the image. We show that there is no correlation between symmetry and memorability, however memorability positively correlates with the image’s probability of evoking positive sentiment.

Image Memorability ; Fine Art ; Convolutional Neural Networks

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Podaci o prilogu

67

2018.

objavljeno

10.1109/IWSSIP.2018.8439497

Podaci o matičnoj publikaciji

Proceedings of the International Conference on Systems, Signals and Image Processing - IWSSIP 2018

Planinšič, Peter ; Gleich, Dušan

Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)

978-1-5386-6979-2

2157-8702

Podaci o skupu

25th International Conference on Systems, Signals and Image Processing (IWSSIP 2018)

predavanje

20.06.2018-22.06.2018

Maribor, Slovenija

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice