Semantic image understanding: from pixel to word

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Semantic image understanding: from pixel to word

The aim of semantic image understanding is to reveal the semantic meaning behind the image pixel. This thesis investigates problems related to semantic image understanding, and have made the following contributions. Our first contribution is to propose the usage of histogram matching in Multiple Ke...

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Bibliographic Details
Main Author:	Fu, Hao
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2012
Subjects:	semantic image understanding pixels multiple kernel learning mkl rkdi relative kernel distribution invariance semantic nearest neighbours snn semantic similarity measure ssm
Online Access:	https://eprints.nottingham.ac.uk/12847/

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