Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings

Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings

Due to the digitization of fine art collections, pictures of fine art objects stored at museums and art galleries became widely available to the public. It created a demand for efficient software tools that would allow rapid retrieval and semantic categorization of art. This paper introduces a new,...

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Bibliographic Details
Main Authors: Catherine Sandoval, Elena Pirogova, Margaret Lech
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fine art style recognition
painting classification
machine learning
multi-stage classification
transfer learning
digital humanities
Online Access:https://ieeexplore.ieee.org/document/8675906/

Internet

https://ieeexplore.ieee.org/document/8675906/

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