Research on methodology of image semantic understanding based on generalized computing

Yangu Zhang; Min Yao; Zhen Yuan

doi:10.1117/12.748103

15 November 2007 Research on methodology of image semantic understanding based on generalized computing

Yangu Zhang, Min Yao, Zhen Yuan

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880R (2007) https://doi.org/10.1117/12.748103
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Yangu Zhang, Min Yao, and Zhen Yuan "Research on methodology of image semantic understanding based on generalized computing", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880R (15 November 2007); https://doi.org/10.1117/12.748103

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