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Lecture Notes in Computer Science
With the vast expansion of digital contemporary painting collections, automatic theme stylization has grown in demand in both academic and commercial fields. The recent interest in deep neural networks has provided powerful visual features that achieve state-of-the-art results in various visual classification tasks. In this work, we examine the perceptiveness of these features in identifying artistic styles in paintings, and suggest a compact binary representation of the paintings. Combineddoi:10.1007/978-3-319-16178-5_5 fatcat:j7n3guyptjf6vmqrkcwwl6os3u