An efficient and effective similarity measure to enable data mining of petroglyphs

被引:26
作者
Zhu, Qiang [1 ]
Wang, Xiaoyue [1 ]
Keogh, Eamonn [1 ]
Lee, Sang-Hee [2 ]
机构
[1] Univ Calif Riverside, Dept Comp Sci & Engn, Riverside, CA 92521 USA
[2] Univ Calif Riverside, Dept Anthropol, Riverside, CA 92521 USA
基金
美国国家科学基金会;
关键词
Image processing; Similarity search; Cultural artifacts; CHARACTER-RECOGNITION; DISTANCE; CURVES; IMAGE;
D O I
10.1007/s10618-010-0200-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Rock art is an archaeological term for human-made markings on stone, including carved markings, known as petroglyphs, and painted markings, known as pictographs. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cultural resource has implications even beyond anthropology and history. Surprisingly, although image processing, information retrieval and data mining have had a large impact on many human endeavors, they have had essentially zero impact on the study of rock art. In this work we identify the reasons for this, and introduce a novel distance measure and algorithms which allow efficient and effective data mining of large collections of rock art.
引用
收藏
页码:91 / 127
页数:37
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