## Selective clustering for representative paintings selection

2019
Deng, Yingying
Dong, Weiming
Wu, Fuzhang
Xu, Changsheng
Journal article
Published
##### Published in
Multimedia Tools and Applications ; 78 (2019), 14. - pp. 19305-19323. - ISSN 1380-7501. - eISSN 1573-7721
##### Abstract
Selective classification (or rejection based classification) has been proved useful in many applications. In this paper we describe a selective clustering framework with reject option to carry out large-scale digital arts analysis. With the help of deep learning techniques, we extract content-style features from a pre-trained convolutional network for the paintings. By proposing a rejection mechanism under Bayesian framework, we focus on selecting style-oriented representative paintings of an artist, which is an interesting and challenging cultural heritage application. Two kinds of samples are rejected during the rejection based robust continuous clustering process. Representative paintings are selected during the selective clustering phase. Visual qualitative analysis on small painting set and large scale quantitative experiments on a subset of Wikiart show that the proposed rejection based selective clustering approach outperforms the standard clustering methods.
##### Subject (DDC)
004 Computer Science
##### Keywords
Digital arts analysis, Pattern mining, Rejection mechanism, Deep feature representation
##### Cite This
ISO 690DENG, Yingying, Fan TANG, Weiming DONG, Fuzhang WU, Oliver DEUSSEN, Changsheng XU, 2019. Selective clustering for representative paintings selection. In: Multimedia Tools and Applications. 78(14), pp. 19305-19323. ISSN 1380-7501. eISSN 1573-7721. Available under: doi: 10.1007/s11042-019-7271-7
BibTex
@article{Deng2019-07Selec-45588,
year={2019},
doi={10.1007/s11042-019-7271-7},
title={Selective clustering for representative paintings selection},
number={14},
volume={78},
issn={1380-7501},
journal={Multimedia Tools and Applications},
pages={19305--19323},
author={Deng, Yingying and Tang, Fan and Dong, Weiming and Wu, Fuzhang and Deussen, Oliver and Xu, Changsheng}
}

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