Context-adapted document segmentation based on multi-state hidden Markov tree models in the wavelet domain

Residential College	false
Status	已發表Published
	Context-adapted document segmentation based on multi-state hidden Markov tree models in the wavelet domain
	Song J.-P.1; Hou Y.-H.1; Yang X.-Y.1; Tang Y.-Y.2
	2007
Source Publication	Tien Tzu Hsueh Pao/Acta Electronica Sinica
ISSN	03722112
Volume	35 Issue:1 Pages:118-122
Abstract	This paper presents a new document segmentation algorithm, called context-adapted wavelet-domain hidden Markov tree (CAHMT) model, which extends a recently emerged wavelet-domain hidden Markov tree (HMT) model[1]. The proposed CAHMT can achieve more accurate quality in document segmentation with low computation complexity. In addition to further improving the segmenting performance, we combine differential operator and the lowest frequency subband (called scale coefficients in wavelet transform) with CAHMT and produce much better visually segmentation quality than the HMT does.
Keyword	Context-adapted Differential operator Document segmentation Hidden Markov tree model Scale coefficients Wavelet transform
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Journal article
Collection	University of Macau
Affiliation	1.Henan University 2.Hong Kong Baptist University
Recommended Citation GB/T 7714	Song J.-P.,Hou Y.-H.,Yang X.-Y.,et al. Context-adapted document segmentation based on multi-state hidden Markov tree models in the wavelet domain[J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2007, 35(1), 118-122.
APA	Song J.-P.., Hou Y.-H.., Yang X.-Y.., & Tang Y.-Y. (2007). Context-adapted document segmentation based on multi-state hidden Markov tree models in the wavelet domain. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 35(1), 118-122.
MLA	Song J.-P.,et al."Context-adapted document segmentation based on multi-state hidden Markov tree models in the wavelet domain".Tien Tzu Hsueh Pao/Acta Electronica Sinica 35.1(2007):118-122.

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