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Proceedings Paper

Supervised clustering-algorithm-based visual information features classification
Author(s): Yuan Yuan; Nenghai Yu; Xuelong Li; Dacheng Tao; Zhengkai Liu
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Paper Abstract

An intelligent image-indexing algorithm is proposed in this paper. It based on knowledge extracted from some simple single low-level image features. Two independent large image databases are built with more than 12000 images for training and test, and the experimental results show it work efficiently for high dimension database indexing. The running time is shorter than other algorithms proposed for the same purpose, and the algorithm performs even better for some certain semantic image classifications.

Paper Details

Date Published: 31 July 2002
PDF: 5 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477206
Show Author Affiliations
Yuan Yuan, Univ. of Science and Technology of China (China)
Nenghai Yu, Univ. of Science and Technology of China (China)
Xuelong Li, Univ. of Science and Technology of China (China)
Dacheng Tao, Univ. of Science and Technology of China (China)
Zhengkai Liu, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics

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