Mining the Royal Portrait Miniature for the Art Historical Context

Author

Read, Steve ; Cao, Yu ; Antaramian-Hofman, Hazel

Author_Institution

California Univ., Santa Barbara

fYear

2008

fDate

6-8 April 2008

Firstpage

1358

Lastpage

1361

Abstract

The eleventh-century royal portrait miniature painting of King Gagik-Abas of Kars, Queen Goranduxt, and Princess Marem is an important image within the realm of Armenian art history. However, conflicting statements about art historical context have been drawn by human visual analysis. In this paper, we investigate a pattern classification algorithm to discover the historic context using the texture information of the art image. Specifically, our goal is using computer-aided techniques to provide the second opinion for the determination of whether the object held by the queen in the image is a silk cloth resembling the veil she wears. Experimental results showed that image data mining techniques is a possible solution to analyze the art image for interesting and useful patterns.

Keywords

art; clothing; data mining; history; image classification; image texture; Armenian art history; King Gagik-Abas of Kars; Princess Marem; Queen Goranduxt; computer-aided techniques; eleventh-century royal portrait miniature painting mining; historic context; human visual analysis; image data mining; pattern classification algorithm; silk cloth; texture information; veil she wears; Art; Classification algorithms; Data mining; History; Humans; Image analysis; Image texture analysis; Painting; Pattern analysis; Pattern classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-1685-1

Electronic_ISBN

978-1-4244-1686-8

Type

conf

DOI

10.1109/ICNSC.2008.4525429

Filename

4525429