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Proceedings Paper

Research on methodology of image semantic understanding based on generalized computing
Author(s): Yangu Zhang; Min Yao; Zhen Yuan
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Paper Abstract

Image semantic understanding is one of the most important techniques for solving the problem of semantic gap. By introducing generalized computing into image semantic understanding, this paper presents a kind of third class image description model. Then, under the guidance of the model, the approaches of image semantic information extraction is proposed based on generalized set and generalized transformation. Finally, a kind of image semantic understanding system based on generalized is sketched out.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880R (15 November 2007); doi: 10.1117/12.748103
Show Author Affiliations
Yangu Zhang, Wenzhou Univ. (China)
Min Yao, Zhejiang Univ. (China)
Wuhan Univ. (China)
Zhen Yuan, Zhejiang Univ. (China)
Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

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