Image processing for artist identification

By C.R. Johnson, Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, E. Postma, J.Z. Wang. IEEE Signal Processing Magazine, 2008

308 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/160882b239795f6ed919d2a74cec58dd0aadd74e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Jia Li
2. Jean Ponce
3. Francis R. Bach
4. Julien Mairal
5. Xiaoou Tang
6. Allan Hanbury
7. Yiwen Luo
8. Jana Machajdik

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Dacheng Tao
3. Li Fei-Fei
4. Xiaogang Wang
5. Ming-Hsuan Yang
6. Trevor Darrell
7. Andrew Zisserman
8. Xiaoou Tang

Citations in the corpus

• Image retrieval: Ideas, influences, and trends of the new age (2008, background): “…search and retrieval in large art/cultural image databases, statistical learning techniques have also been proposed to capture properties of the brush strokes of painters [Melzer et al. 1998; Sablatnig et al. 1998; Li and Wang 2004; Lyu et al. 2004; Berezhnoy et al. 2005; Johnson et al. 2008].”
• Task-Driven Dictionary Learning (2010, methodology): “Recognizing authentic paintings from imitations using statistical techniques has been the topic of a few recent works [52], [53], [54].”
• Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature (2015, unknown): “(e.g. [25, 18, 22, 15, 6, 19]).”