Constructing Visual Taxonomies by Shape

Anthony Cook; M. J. Gibbens

doi:10.1109/ICPR.2006.405

Constructing Visual Taxonomies by Shape

Anthony Cook, M. J. Gibbens

Adran Ffiseg

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We investigate the use of statistical shape measures for segmented image regions to construct taxonomies of visual similarity. It is demonstrated that without the use of a priori knowledge, cluster analysis can be used to impose structure on heterogeneous image data sets. We develop visual taxonomies to accomplish moderate classification tasks, and provide a framework for more powerful, open-ended analysis of large data sets. The power of this method is demonstrated using a visual taxonomy of textual data, which is shown to be efficient in an MDL context

Iaith wreiddiol	Saesneg
Teitl	18th International Conference on Pattern Recognition, 2006. ICPR 2006
Cyhoeddwr	IEEE Press
Tudalennau	732 - 735
Nifer y tudalennau	4
ISBN (Argraffiad)	0-7695-2521-0
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/ICPR.2006.405
Statws	Cyhoeddwyd - 2006

Mynediad at Ddogfen

10.1109/ICPR.2006.405

http://hdl.handle.net/2160/1507

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Dolen barhaus

Dyfynnu hyn

@inproceedings{21631f51cf654bbc80a7cbf129d1c910,

title = "Constructing Visual Taxonomies by Shape",

abstract = "We investigate the use of statistical shape measures for segmented image regions to construct taxonomies of visual similarity. It is demonstrated that without the use of a priori knowledge, cluster analysis can be used to impose structure on heterogeneous image data sets. We develop visual taxonomies to accomplish moderate classification tasks, and provide a framework for more powerful, open-ended analysis of large data sets. The power of this method is demonstrated using a visual taxonomy of textual data, which is shown to be efficient in an MDL context",

author = "Anthony Cook and Gibbens, {M. J.}",

note = "Cook, Anthony; Gibbens, M.J., (2006) 'Constructing Visual Taxonomies by Shape', 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, pp. 732 - 735 RAE2008",

year = "2006",

doi = "10.1109/ICPR.2006.405",

language = "English",

isbn = "0-7695-2521-0",

pages = "732 -- 735",

booktitle = "18th International Conference on Pattern Recognition, 2006. ICPR 2006",

publisher = "IEEE Press",

address = "United States of America",

}

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T1 - Constructing Visual Taxonomies by Shape

AU - Cook, Anthony

AU - Gibbens, M. J.

N1 - Cook, Anthony; Gibbens, M.J., (2006) 'Constructing Visual Taxonomies by Shape', 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, pp. 732 - 735 RAE2008

PY - 2006

Y1 - 2006

N2 - We investigate the use of statistical shape measures for segmented image regions to construct taxonomies of visual similarity. It is demonstrated that without the use of a priori knowledge, cluster analysis can be used to impose structure on heterogeneous image data sets. We develop visual taxonomies to accomplish moderate classification tasks, and provide a framework for more powerful, open-ended analysis of large data sets. The power of this method is demonstrated using a visual taxonomy of textual data, which is shown to be efficient in an MDL context

AB - We investigate the use of statistical shape measures for segmented image regions to construct taxonomies of visual similarity. It is demonstrated that without the use of a priori knowledge, cluster analysis can be used to impose structure on heterogeneous image data sets. We develop visual taxonomies to accomplish moderate classification tasks, and provide a framework for more powerful, open-ended analysis of large data sets. The power of this method is demonstrated using a visual taxonomy of textual data, which is shown to be efficient in an MDL context

U2 - 10.1109/ICPR.2006.405

DO - 10.1109/ICPR.2006.405

M3 - Conference Proceeding (Non-Journal item)

SN - 0-7695-2521-0

SP - 732

EP - 735

BT - 18th International Conference on Pattern Recognition, 2006. ICPR 2006

PB - IEEE Press

ER -

Constructing Visual Taxonomies by Shape

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