Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects

Zhihui Hu; Howard Leung; Yun Xu

doi:10.1109/MINES.2009.182

Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects

Zhihui Hu
, Howard Leung
, Yun Xu

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The spatial relationships between two objects can be characterized by their interval relationship. The difference in spatial relationships can be determined by using an interval neighborhood graph. In this paper, we propose to adapt the weights in an interval neighborhood graph according to the significance of change in spatial relationships. We apply our proposed approach in the application of Chinese handwriting error detection. A Chinese character consists of many strokes that contain certain spatial relationships between them. By using our proposed weight-adaptive interval neighborhood graph, we can detect more handwriting errors with a higher accuracy. © 2009 IEEE.

Original language	English
Title of host publication	1st International Conference on Multimedia Information Networking and Security, MINES 2009
Pages	220-224
Volume	1
DOIs	https://doi.org/10.1109/MINES.2009.182
Publication status	Published - 2009
Event	1st International Conference on Multimedia Information Networking and Security, MINES 2009 - Hubei, China Duration: 17 Nov 2009 → 20 Nov 2009

Publication series

Name
Volume	1

Conference

Conference	1st International Conference on Multimedia Information Networking and Security, MINES 2009
Place	China
City	Hubei
Period	17/11/09 → 20/11/09

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SDG 3 Good Health and Well-being

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10.1109/MINES.2009.182

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title = "Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects",

abstract = "The spatial relationships between two objects can be characterized by their interval relationship. The difference in spatial relationships can be determined by using an interval neighborhood graph. In this paper, we propose to adapt the weights in an interval neighborhood graph according to the significance of change in spatial relationships. We apply our proposed approach in the application of Chinese handwriting error detection. A Chinese character consists of many strokes that contain certain spatial relationships between them. By using our proposed weight-adaptive interval neighborhood graph, we can detect more handwriting errors with a higher accuracy. {\textcopyright} 2009 IEEE.",

author = "Zhihui Hu and Howard Leung and Yun Xu",

year = "2009",

doi = "10.1109/MINES.2009.182",

language = "English",

isbn = "9780769538433",

volume = "1",

pages = "220--224",

booktitle = "1st International Conference on Multimedia Information Networking and Security, MINES 2009",

note = "1st International Conference on Multimedia Information Networking and Security, MINES 2009 ; Conference date: 17-11-2009 Through 20-11-2009",

}

Hu, Z, Leung, H & Xu, Y 2009, Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects. in 1st International Conference on Multimedia Information Networking and Security, MINES 2009. vol. 1, 5368363, pp. 220-224, 1st International Conference on Multimedia Information Networking and Security, MINES 2009, Hubei, China, 17/11/09. https://doi.org/10.1109/MINES.2009.182

Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects. / Hu, Zhihui; Leung, Howard; Xu, Yun.
1st International Conference on Multimedia Information Networking and Security, MINES 2009. Vol. 1 2009. p. 220-224 5368363.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects

AU - Hu, Zhihui

AU - Leung, Howard

AU - Xu, Yun

PY - 2009

Y1 - 2009

N2 - The spatial relationships between two objects can be characterized by their interval relationship. The difference in spatial relationships can be determined by using an interval neighborhood graph. In this paper, we propose to adapt the weights in an interval neighborhood graph according to the significance of change in spatial relationships. We apply our proposed approach in the application of Chinese handwriting error detection. A Chinese character consists of many strokes that contain certain spatial relationships between them. By using our proposed weight-adaptive interval neighborhood graph, we can detect more handwriting errors with a higher accuracy. © 2009 IEEE.

AB - The spatial relationships between two objects can be characterized by their interval relationship. The difference in spatial relationships can be determined by using an interval neighborhood graph. In this paper, we propose to adapt the weights in an interval neighborhood graph according to the significance of change in spatial relationships. We apply our proposed approach in the application of Chinese handwriting error detection. A Chinese character consists of many strokes that contain certain spatial relationships between them. By using our proposed weight-adaptive interval neighborhood graph, we can detect more handwriting errors with a higher accuracy. © 2009 IEEE.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77749280098&origin=recordpage

U2 - 10.1109/MINES.2009.182

DO - 10.1109/MINES.2009.182

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769538433

VL - 1

SP - 220

EP - 224

BT - 1st International Conference on Multimedia Information Networking and Security, MINES 2009

T2 - 1st International Conference on Multimedia Information Networking and Security, MINES 2009

Y2 - 17 November 2009 through 20 November 2009

ER -

Weight-adaptive interval neighborhood graph for characterizing the difference in spatial relationships between objects

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