Journal ArticleDOI
Image processing for artist identification
Chris R. Johnson,Ella Hendriks,Igor Berezhnoy,Eugene Brevdo,Shannon M. Hughes,Ingrid Daubechies,Jia Li,Eric O. Postma,James Z. Wang +8 more
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TLDR
The approaches to brushwork analysis and artist identification developed by three research groups are described within the framework of this data set of 101 high-resolution gray-scale scans of paintings within the Van Gogh and Kroller-Muller museums.Abstract:
A survey of the literature reveals that image processing tools aimed at supplementing the art historian's toolbox are currently in the earliest stages of development. To jump-start the development of such methods, the Van Gogh and Kroller-Muller museums in The Netherlands agreed to make a data set of 101 high-resolution gray-scale scans of paintings within their collections available to groups of image processing researchers from several different universities. This article describes the approaches to brushwork analysis and artist identification developed by three research groups, within the framework of this data set.read more
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Image retrieval: Ideas, influences, and trends of the new age
TL;DR: Almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation are surveyed, and the spawning of related subfields are discussed, to discuss the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
Journal ArticleDOI
Task-Driven Dictionary Learning
TL;DR: This paper presents a general formulation for supervised dictionary learning adapted to a wide variety of tasks, and presents an efficient algorithm for solving the corresponding optimization problem.
Journal ArticleDOI
Aesthetics and Emotions in Images
Dhiraj Joshi,Ritendra Datta,Elena A. Fedorovskaya,Quang-Tuan Luong,James Z. Wang,Jia Li,Jiebo Luo +6 more
TL;DR: This tutorial defines and discusses key aspects of the problem of computational inference of aesthetics and emotion from images and describes data sets available for performing assessment and outline several real-world applications where research in this domain can be employed.
Journal ArticleDOI
Aesthetic Visual Quality Assessment of Paintings
Congcong Li,Tsuhan Chen +1 more
TL;DR: A group of methods to extract features to represent both the global characteristics and local characteristics of a painting are designed, which can classify high-quality and low-quality paintings with performance comparable to humans.
Proceedings ArticleDOI
Ceci n'est pas une pipe: A deep convolutional network for fine-art paintings classification
TL;DR: This paper trains an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem and employs the recently publicly available large-scale “Wikiart paintings” dataset that consists of more than 80,000 paintings.
References
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Image retrieval: Ideas, influences, and trends of the new age
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