A. COMPUTATIONAL ANALYSIS OF ART
The emergence of large digitized and online available ﬁne art
collections facilitated the opening of new research questions
in the interdisciplinary ﬁeld of computer vision, machine
learning and art history. Analyzing artworks includes under-
standing different aspects such as form, expression, content
and meaning. Those aspects arise from formal elements of
paintings such as line, shape, color, texture and composi-
tion [5]. Various computational image features can be used
in order to analyze and describe the formal elements of art
images, primarily color or texture-based features. However,
narrowing the semantic gap between low-level image features

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E. Cetinic et al.: Deep Learning Perspective on Beauty, Sentiment and Remembrance of Art

and artistic concepts remains a great challenge in computa-
tional analysis of art.
A_Deep_Learning_Perspective_on_Beauty_Sentiment_and_Remembrance_of_Art