Conference Paper

Mining the Royal Portrait Miniature for the Art Historical Context

California Univ., Santa Barbara
DOI: 10.1109/ICNSC.2008.4525429 Conference: Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Source: IEEE Xplore

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.

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